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Surgical-Bleeding-AMAGI
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+Collections:
+- Name: TSN
+  README: configs/recognition/tsn/README.md
+  Paper:
+    URL: https://arxiv.org/abs/1608.00859
+    Title: "Temporal Segment Networks: Towards Good Practices for Deep Action Recognition"
+Models:
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 75
+    FLOPs: 134526773248
+    Parameters: 23714981
+    Pretrained: ImageNet
+    Training Data: UCF101
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x3_75e_ucf101_rgb
+  Results:
+  - Dataset: UCF101
+    Metrics:
+      Top 1 Accuracy: 83.03
+      Top 5 Accuracy: 96.78
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_75e_ucf101_rgb/tsn_r50_1x1x3_75e_ucf101_rgb_20201023-d85ab600.pth
+- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 100
+    FLOPs: 32959107072
+    Parameters: 23606384
+    Pretrained: ImageNet
+    Training Data: Diving48
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_1x1x8_100e_diving48_rgb
+  Results:
+  - Dataset: Diving48
+    Metrics:
+      Top 1 Accuracy: 71.27
+      Top 5 Accuracy: 95.74
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/20210426_014138.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_diving48_rgb/tsn_r50_video_1x1x8_100e_diving48_rgb_20210426-6dde0185.pth
+- Config: configs/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 4
+    Epochs: 100
+    FLOPs: 32959107072
+    Parameters: 23606384
+    Pretrained: ImageNet
+    Training Data: Diving48
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_1x1x16_100e_diving48_rgb
+  Results:
+  - Dataset: Diving48
+    Metrics:
+      Top 1 Accuracy: 76.75
+      Top 5 Accuracy: 96.95
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/20210426_014103.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x16_100e_diving48_rgb/tsn_r50_video_1x1x16_100e_diving48_rgb_20210426-63c5f2f7.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 50
+    FLOPs: 43048605696
+    Parameters: 23612531
+    Pretrained: ImageNet
+    Training Data: HMDB51
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb
+  Results:
+  - Dataset: HMDB51
+    Metrics:
+      Top 1 Accuracy: 48.95
+      Top 5 Accuracy: 80.19
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/20201025_231108.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb_20201123-ce6c27ed.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 50
+    FLOPs: 43048605696
+    Parameters: 23612531
+    Pretrained: Kinetics400
+    Training Data: HMDB51
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb
+  Results:
+  - Dataset: HMDB51
+    Metrics:
+      Top 1 Accuracy: 56.08
+      Top 5 Accuracy: 84.31
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/20201108_190805.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb_20201123-7f84701b.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Epochs: 50
+    FLOPs: 43048605696
+    Parameters: 23612531
+    Pretrained: Moments
+    Training Data: HMDB51
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_50e_hmdb51_mit_rgb
+  Results:
+  - Dataset: HMDB51
+    Metrics:
+      Top 1 Accuracy: 54.25
+      Top 5 Accuracy: 83.86
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/20201112_170135.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_hmdb51_mit_rgb/tsn_r50_1x1x8_50e_hmdb51_mit_rgb_20201123-01526d41.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: 340x256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.6
+      Top 5 Accuracy: 89.26
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/20200614_063526.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb/tsn_r50_1x1x3_100e_kinetics400_rgb_20200614-e508be42.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.42
+      Top 5 Accuracy: 89.03
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/20200725_031325.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x3_100e_kinetics400_rgb/tsn_r50_256p_1x1x3_100e_kinetics400_rgb_20200725-22592236.pth
+- Config: configs/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 16
+    Epochs: 100
+    FLOPs: 32959827968
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: 340x256
+    Training Data: Kinetics-400
+    Training Resources: 24 GPUs
+  Modality: RGB
+  Name: tsn_r50_dense_1x1x5_50e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.18
+      Top 5 Accuracy: 89.1
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/20200627_105310.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x5_100e_kinetics400_rgb/tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20200627-a063165f.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 134527385600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r50_320p_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.91
+      Top 5 Accuracy: 89.51
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_f3_kinetics400_shortedge_70.9_89.5.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_320p_1x1x3_100e_kinetics400_rgb_20200702-cc665e2a.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 110
+    FLOPs: 109881868800
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: Flow
+  Name: tsn_r50_320p_1x1x3_110e_kinetics400_flow
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 55.7
+      Top 5 Accuracy: 79.85
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_f3_kinetics400_flow_shortedge_55.7_79.9.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x3_110e_kinetics400_flow/tsn_r50_320p_1x1x3_110e_kinetics400_flow_20200705-3036bab6.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 134527385600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 71.8
+      Top 5 Accuracy: 90.17
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/20200815_173413.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_256p_1x1x8_100e_kinetics400_rgb/tsn_r50_256p_1x1x8_100e_kinetics400_rgb_20200817-883baf16.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 134527385600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 24 GPUs
+  Modality: RGB
+  Name: tsn_r50_320p_1x1x8_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 72.41
+      Top 5 Accuracy: 90.55
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_f8_kinetics400_shortedge_72.4_90.6.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_100e_kinetics400_rgb/tsn_r50_320p_1x1x8_100e_kinetics400_rgb_20200702-ef80e3d7.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 110
+    FLOPs: 109881868800
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: Flow
+  Name: tsn_r50_320p_1x1x8_110e_kinetics400_flow
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 57.76
+      Top 5 Accuracy: 80.99
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_f8_kinetics400_flow_shortedge_57.8_81.0.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_110e_kinetics400_flow/tsn_r50_320p_1x1x8_110e_kinetics400_flow_20200705-1f39486b.pth
+- Config: configs/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 71.11
+      Top 5 Accuracy: 90.04
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb/tsn_r50_video_320p_1x1x3_100e_kinetics400_rgb_20201014-5ae1ee79.pth
+- Config: configs/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 32959827968
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: 340x256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_dense_1x1x8_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.77
+      Top 5 Accuracy: 89.3
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/20200606_003901.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_dense_1x1x8_100e_kinetics400_rgb_20200606-e925e6e3.pth
+- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 134527385600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_1x1x8_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 71.14
+      Top 5 Accuracy: 89.63
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_100e_kinetics400_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics400_rgb/tsn_r50_video_1x1x8_100e_kinetics400_rgb_20200702-568cde33.pth
+- Config: configs/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 32959827968
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.4
+      Top 5 Accuracy: 89.12
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_2d_1x1x8_dense_100e_kinetics400_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb/tsn_r50_video_dense_1x1x8_100e_kinetics400_rgb_20200703-0f19175f.pth
+- Config: configs/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNeXt101-32x4d [[MMCls](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnext)]
+    Batch Size: 16
+    Epochs: 100
+    FLOPs: 262238208000
+    Parameters: 42948304
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 73.43
+      Top 5 Accuracy: 91.01
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_rn101_32x4d_320p_1x1x3_100e_kinetics400_rgb-16a8b561.pth
+- Config: configs/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNeXt101-32x4d [[TorchVision](https://github.com/pytorch/vision/)]
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 255225561600
+    Parameters: 27355600
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_dense161_320p_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 72.78
+      Top 5 Accuracy: 90.75
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb/tsn_dense161_320p_1x1x3_100e_kinetics400_rgb-cbe85332.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: ImageNet
+    Resolution: 340x256
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: tsn_omnisource_r50_1x1x3_100e_kinetics_rgb
+  Converted From:
+    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/tsn_OmniSource_kinetics400_se_rgb_r50_seg3_f1s1_imagenet-4066cb7e.pth
+    Code: https://github.com/open-mmlab/mmaction
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 73.6
+      Top 5 Accuracy: 91.0
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_imagenet_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-54192355.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: IG-1B
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: tsn_IG1B_pretrained_r50_1x1x3_100e_kinetics_rgb
+  Converted From:
+    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/tsn_OmniSource_kinetics400_se_rgb_r50_seg3_f1s1_IG1B-25fc136b.pth
+    Code: https://github.com/open-mmlab/mmaction/
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 73.1
+      Top 5 Accuracy: 90.4
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_without_omni_1x1x3_kinetics400_rgb_20200926-c133dd49.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 102997721600
+    Parameters: 24327632
+    Pretrained: IG-1B
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: tsn_IG1B_pretrained_omnisource_r50_1x1x3_100e_kinetics_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 75.7
+      Top 5 Accuracy: 91.9
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/omni/tsn_1G1B_pretrained_r50_omni_1x1x3_kinetics400_rgb_20200926-2863fed0.pth
+- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 134527795200
+    Parameters: 24737432
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-600
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_1x1x8_100e_kinetics600_rgb
+  Results:
+  - Dataset: Kinetics-600
+    Metrics:
+      Top 1 Accuracy: 74.8
+      Top 5 Accuracy: 92.3
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics600_rgb/tsn_r50_video_1x1x8_100e_kinetics600_rgb_20201015-4db3c461.pth
+- Config: configs/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 100
+    FLOPs: 134528000000
+    Parameters: 24942332
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: Kinetics-700
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r50_video_1x1x8_100e_kinetics700_rgb
+  Results:
+  - Dataset: Kinetics-700
+    Metrics:
+      Top 1 Accuracy: 61.7
+      Top 5 Accuracy: 83.6
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_video_1x1x8_100e_kinetics700_rgb/tsn_r50_video_1x1x8_100e_kinetics700_rgb_20201015-e381a6c7.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 16
+    Epochs: 50
+    FLOPs: 32781541376
+    Parameters: 23864558
+    Pretrained: ImageNet
+    Resolution: height 100
+    Training Data: SthV1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_50e_sthv1_rgb
+  Results:
+  - Dataset: SthV1
+    Metrics:
+      Top 1 Accuracy: 18.55
+      Top 5 Accuracy: 44.8
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_r50_f8_sthv1_18.1_45.0.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_sthv1.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv1_rgb/tsn_r50_1x1x8_50e_sthv1_rgb_20200618-061b9195.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 4
+    Epochs: 50
+    FLOPs: 32781541376
+    Parameters: 23864558
+    Pretrained: ImageNet
+    Resolution: height 100
+    Training Data: SthV1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x16_50e_sthv1_rgb
+  Results:
+  - Dataset: SthV1
+    Metrics:
+      Top 1 Accuracy: 15.77
+      Top 5 Accuracy: 39.85
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/20200614_211932.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv1_rgb/tsn_r50_1x1x16_50e_sthv1_rgb_20200614-7e2fe4f1.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 16
+    Epochs: 50
+    FLOPs: 32959365120
+    Parameters: 23864558
+    Pretrained: ImageNet
+    Resolution: height 256
+    Training Data: SthV2
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x8_50e_sthv2_rgb
+  Results:
+  - Dataset: SthV2
+    Metrics:
+      Top 1 Accuracy: 28.59
+      Top 5 Accuracy: 59.56
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20210816_221116.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/20210816_221116.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x8_50e_sthv2_rgb/tsn_r50_1x1x8_50e_sthv2_rgb_20210816-1aafee8f.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 4
+    Epochs: 50
+    FLOPs: 65918373888
+    Parameters: 23864558
+    Pretrained: ImageNet
+    Resolution: height 256
+    Training Data: SthV2
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x16_50e_sthv2_rgb
+  Results:
+  - Dataset: SthV2
+    Metrics:
+      Top 1 Accuracy: 20.89
+      Top 5 Accuracy: 49.16
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20210816_225256.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/20210816_225256.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x16_50e_sthv2_rgb/tsn_r50_1x1x16_50e_sthv2_rgb_20210816-5d23ac6e.pth
+- Config: configs/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 16
+    Epochs: 100
+    FLOPs: 32287070208
+    Parameters: 24202643
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: MiT
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r50_1x1x6_100e_mit_rgb
+  Results:
+  - Dataset: MiT
+    Metrics:
+      Top 1 Accuracy: 26.84
+      Top 5 Accuracy: 51.6
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_r50_f6_mit_26.8_51.6.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_mit.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_1x1x6_100e_mit_rgb/tsn_r50_1x1x6_100e_mit_rgb_20200618-d512ab1b.pth
+- Config: configs/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet101
+    Batch Size: 16
+    Epochs: 50
+    FLOPs: 51249301504
+    Parameters: 43141497
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: MMiT
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r101_1x1x5_50e_mmit_rgb
+  Results:
+  - Dataset: MMiT
+    Metrics:
+      mAP: 61.09
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_r101_f6_mmit_61.1.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_mmit.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r101_1x1x5_50e_mmit_rgb/tsn_r101_1x1x5_50e_mmit_rgb_20200618-642f450d.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 50
+    FLOPs: 134526976000
+    Parameters: 23917832
+    Pretrained: Kinetics400
+    Resolution: short-side 320
+    Training Data: ActivityNet v1.3
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_320p_1x1x8_50e_activitynet_video_rgb
+  Results:
+  - Dataset: ActivityNet v1.3
+    Metrics:
+      Top 1 Accuracy: 73.93
+      Top 5 Accuracy: 93.44
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/20210228_223327.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb/tsn_r50_320p_1x1x8_50e_activitynet_video_rgb_20210301-7f8da0c6.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 50
+    FLOPs: 134526976000
+    Parameters: 23917832
+    Pretrained: Kinetics400
+    Resolution: short-side 320
+    Training Data: ActivityNet v1.3
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb
+  Results:
+  - Dataset: ActivityNet v1.3
+    Metrics:
+      Top 1 Accuracy: 76.9
+      Top 5 Accuracy: 94.47
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/20210217_181313.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb/tsn_r50_320p_1x1x8_50e_activitynet_clip_rgb_20210301-c0f04a7e.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 109881459200
+    Parameters: 23939784
+    Pretrained: Kinetics400
+    Resolution: 340x256
+    Training Data: ActivityNet v1.3
+    Training Resources: 16 GPUs
+  Modality: Flow
+  Name: tsn_r50_320p_1x1x8_150e_activitynet_video_flow
+  Results:
+  - Dataset: ActivityNet v1.3
+    Metrics:
+      Top 1 Accuracy: 57.51
+      Top 5 Accuracy: 83.02
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_video_flow/tsn_r50_320p_1x1x8_150e_activitynet_video_flow_20200804-13313f52.pth
+- Config: configs/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 109881459200
+    Parameters: 23939784
+    Pretrained: Kinetics400
+    Resolution: 340x256
+    Training Data: ActivityNet v1.3
+    Training Resources: 16 GPUs
+  Modality: Flow
+  Name: tsn_r50_320p_1x1x8_150e_activitynet_clip_flow
+  Results:
+  - Dataset: ActivityNet v1.3
+    Metrics:
+      Top 1 Accuracy: 59.51
+      Top 5 Accuracy: 82.69
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow/tsn_r50_320p_1x1x8_150e_activitynet_clip_flow_20200804-8622cf38.pth
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_action_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59483309568
+    Parameters: 11555619
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_action_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 57.5
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/action/tsn_r18_1x1x8_100e_hvu_action_rgb_20201027-011b282b.pth
+  tag category: action
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_scene_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59483058176
+    Parameters: 11303736
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_scene_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 55.2
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/scene/tsn_r18_1x1x8_100e_hvu_scene_rgb_20201027-00e5748d.pth
+  tag category: scene
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_object_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59483790336
+    Parameters: 12037326
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_object_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 45.7
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/object/tsn_r18_1x1x8_100e_hvu_object_rgb_20201102-24a22f30.pth
+  tag category: object
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_event_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59482966528
+    Parameters: 11211909
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_event_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 63.7
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/event/tsn_r18_1x1x8_100e_hvu_event_rgb_20201027-dea8cd71.pth
+  tag category: event
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_concept_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59483790336
+    Parameters: 12037326
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_concept_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 47.5
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/concept/tsn_r18_1x1x8_100e_hvu_concept_rgb_20201027-fc1dd8e3.pth
+  tag category: concept
+- Config: configs/recognition/tsn/hvu/tsn_r18_1x1x8_100e_hvu_attribute_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: ResNet18
+    Batch Size: 32
+    Epochs: 100
+    FLOPs: 59482991104
+    Parameters: 11236533
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: HVU
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: tsn_r18_1x1x8_100e_hvu_attribute_rgb
+  Results:
+  - Dataset: HVU
+    Metrics:
+      mAP: 46.1
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/hvu/attribute/tsn_r18_1x1x8_100e_hvu_attribute_rgb_20201027-0b3b49d2.pth
+  tag category: attribute
+- Config: configs/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.py
+  In Collection: TSN
+  Metadata:
+    Architecture: Swin Transformer
+    Batch Size: 24
+    Epochs: 100
+    Parameters: 87153224
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics400
+    Training Resources: 8 GPUs
+  Name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 77.51
+      Top 5 Accuracy: 92.92
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tsn/custom_backbones/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb-805380f6.pth