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Surgical-Bleeding-AMAGI
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+Collections:
+- Name: SlowOnly
+  README: configs/recognition/slowonly/README.md
+  Paper:
+    URL: https://arxiv.org/abs/1812.03982
+    Title: SlowFast Networks for Video Recognition
+Models:
+- Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 256
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: slowonly_r50_omnisource_4x16x1_256e_kinetics400_rgb
+  Converted From:
+    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/slowonly_OmniSource_kinetics400_se_rgb_r50_seg1_4x16_scratch-71f7b8ee.pth
+    Code: https://github.com/open-mmlab/mmaction/
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 76.8
+      Top 5 Accuracy: 92.5
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r50_omni_4x16x1_kinetics400_rgb_20200926-51b1f7ea.pth
+- Config: configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet101
+    Batch Size: 8
+    Epochs: 196
+    FLOPs: 112063447040
+    Parameters: 60359120
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: slowonly_r101_8x8x1_196e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 76.5
+      Top 5 Accuracy: 92.7
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r101_without_omni_8x8x1_kinetics400_rgb_20200926-0c730aef.pth
+- Config: configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet101
+    Batch Size: 8
+    Epochs: 196
+    FLOPs: 112063447040
+    Parameters: 60359120
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+  Modality: RGB
+  Name: slowonly_r101_omnisource_8x8x1_196e_kinetics400_rgb
+  Converted From:
+    Weights: https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmaction/models/kinetics400/omnisource/slowonly_OmniSource_kinetics400_se_rgb_r101_seg1_8x8_scratch-2f838cb0.pth
+    Code: https://github.com/open-mmlab/mmaction/
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 80.4
+      Top 5 Accuracy: 94.4
+    Task: Action Recognition
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/omni/slowonly_r101_omni_8x8x1_kinetics400_rgb_20200926-b5dbb701.pth
+- Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 256
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_r50_4x16x1_256e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 72.76
+      Top 5 Accuracy: 90.51
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb/20200817_001411.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb/20200817_001411.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb/slowonly_r50_256p_4x16x1_256e_kinetics400_rgb_20200820-bea7701f.pth
+- Config: configs/recognition/slowonly/slowonly_r50_video_4x16x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 24
+    Epochs: 256
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: slowonly_r50_video_4x16x1_256e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 72.9
+      Top 5 Accuracy: 90.82
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb_20201014.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb_20201014.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb/slowonly_r50_video_320p_4x16x1_256e_kinetics400_rgb_20201014-c9cdc656.pth
+- Config: configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 256
+    FLOPs: 54860480512
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_r50_8x8x1_256e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 74.42
+      Top 5 Accuracy: 91.49
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb/20200817_003320.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb/20200817_003320.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb/slowonly_r50_256p_8x8x1_256e_kinetics400_rgb_20200820-75851a7d.pth
+- Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 256
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: slowonly_r50_4x16x1_256e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 73.02
+      Top 5 Accuracy: 90.77
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb/slowonly_r50_4x16_73.02_90.77.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb/so_4x16.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb/slowonly_r50_4x16x1_256e_kinetics400_rgb_20200704-a69556c6.pth
+- Config: configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 256
+    FLOPs: 54860480512
+    Parameters: 32454096
+    Pretrained: None
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 24 GPUs
+  Modality: RGB
+  Name: slowonly_r50_8x8x1_256e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 74.93
+      Top 5 Accuracy: 91.92
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb/slowonly_r50_8x8_74.93_91.92.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb/so_8x8.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb/slowonly_r50_8x8x1_256e_kinetics400_rgb_20200703-a79c555a.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 73.39
+      Top 5 Accuracy: 91.12
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb_20200912.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb_20200912.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb_20200912-1e8fc736.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 54860480512
+    Parameters: 32454096
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 75.55
+      Top 5 Accuracy: 92.04
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb_20200912.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb_20200912.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb_20200912-3f9ce182.pth
+- Config: configs/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 38201098240
+    Parameters: 39808464
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 74.54
+      Top 5 Accuracy: 91.73
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/20210305_152630.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/20210305_152630.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20210308-0d6e5a69.pth
+- Config: configs/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 150
+    FLOPs: 76401377280
+    Parameters: 39808464
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 76.07
+      Top 5 Accuracy: 92.42
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/20210308_212250.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/20210308_212250.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20210308-e8dd9e82.pth
+- Config: configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 24
+    Epochs: 256
+    FLOPs: 27225128960
+    Parameters: 32450960
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 16 GPUs
+  Modality: Flow
+  Name: slowonly_r50_4x16x1_256e_kinetics400_flow
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 61.79
+      Top 5 Accuracy: 83.62
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow/slowonly_r50_4x16x1_256e_kinetics400_flow_61.8_83.6.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow/slowonly_r50_4x16x1_256e_kinetics400_flow_61.8_83.6.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow/slowonly_r50_4x16x1_256e_kinetics400_flow_20200704-decb8568.pth
+- Config: configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 196
+    FLOPs: 54449438720
+    Parameters: 32450960
+    Pretrained: ImageNet
+    Resolution: short-side 320
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: Flow
+  Name: slowonly_r50_8x8x1_196e_kinetics400_flow
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 65.76
+      Top 5 Accuracy: 86.25
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow/slowonly_r50_8x8x1_196e_kinetics400_flow_65.8_86.3.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow/slowonly_r50_8x8x1_196e_kinetics400_flow_65.8_86.3.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow/slowonly_r50_8x8x1_256e_kinetics400_flow_20200704-6b384243.pth
+- Config: configs/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 256
+    FLOPs: 54860890112
+    Parameters: 32863896
+    Pretrained: None
+    Resolution: short-side 256
+    Training Data: Kinetics-600
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_r50_video_8x8x1_256e_kinetics600_rgb
+  Results:
+  - Dataset: Kinetics-600
+    Metrics:
+      Top 1 Accuracy: 77.5
+      Top 5 Accuracy: 93.7
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb/slowonly_r50_video_8x8x1_256e_kinetics600_rgb_20201015.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb/slowonly_r50_video_8x8x1_256e_kinetics600_rgb_20201015.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb/slowonly_r50_video_8x8x1_256e_kinetics600_rgb_20201015-81e5153e.pth
+- Config: configs/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 256
+    FLOPs: 54861094912
+    Parameters: 33068796
+    Pretrained: None
+    Resolution: short-side 256
+    Training Data: Kinetics-700
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: slowonly_r50_video_8x8x1_256e_kinetics700_rgb
+  Results:
+  - Dataset: Kinetics-700
+    Metrics:
+      Top 1 Accuracy: 65.0
+      Top 5 Accuracy: 86.1
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb/slowonly_r50_video_8x8x1_256e_kinetics700_rgb_20201015.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb/slowonly_r50_video_8x8x1_256e_kinetics700_rgb_20201015.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb/slowonly_r50_video_8x8x1_256e_kinetics700_rgb_20201015-9250f662.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 24
+    Epochs: 120
+    FLOPs: 27430649856
+    Parameters: 32454096
+    Pretrained: ImageNet
+    Resolution: short-side 256
+    Training Data: GYM99
+    Training Resources: 16 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb
+  Results:
+  - Dataset: GYM99
+    Metrics:
+      Top 1 Accuracy: 79.3
+      mean Top 1 Accuracy: 70.2
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb_20201111.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb_20201111.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb/slowonly_imagenet_pretrained_r50_4x16x1_120e_gym99_rgb_20201111-a9c34b54.pth
+- Config: configs/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 24
+    Epochs: 120
+    FLOPs: 27225128960
+    Parameters: 32450960
+    Pretrained: Kinetics
+    Resolution: short-side 256
+    Training Data: GYM99
+    Training Resources: 16 GPUs
+  Modality: Flow
+  Name: slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow
+  Results:
+  - Dataset: GYM99
+    Metrics:
+      Top 1 Accuracy: 80.3
+      mean Top 1 Accuracy: 71.0
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow_20201111.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow_20201111.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow/slowonly_kinetics_pretrained_r50_4x16x1_120e_gym99_flow_20201111-66ecdb3c.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 64
+    FLOPs: 54859716608
+    Parameters: 31689819
+    Pretrained: ImageNet
+    Resolution: height 100
+    Training Data: Jester
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb
+  Results:
+  - Dataset: Jester
+    Metrics:
+      Top 1 Accuracy: 97.2
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb/slowonly_imagenet_pretrained_r50_8x8x1_64e_jester_rgb-b56a5389.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 64
+    FLOPs: 54859765760
+    Parameters: 31738995
+    Pretrained: ImageNet
+    Training Data: HMDB51
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb
+  Results:
+  - Dataset: HMDB51
+    Metrics:
+      Top 1 Accuracy: 37.52
+      Top 5 Accuracy: 71.5
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb/20210605_185256.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb/20210605_185256.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb_20210630-16faeb6a.pth
+- Config: configs/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 40
+    FLOPs: 54859765760
+    Parameters: 31738995
+    Pretrained: Kinetics400
+    Training Data: HMDB51
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_hmdb51_rgb
+  Results:
+  - Dataset: HMDB51
+    Metrics:
+      Top 1 Accuracy: 65.95
+      Top 5 Accuracy: 91.05
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb/20210606_010153.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb/20210606_010153.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb/slowonly_k400_pretrained_r50_8x4x1_40e_hmdb51_rgb_20210630-cee5f725.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 64
+    FLOPs: 54859868160
+    Parameters: 31841445
+    Pretrained: ImageNet
+    Training Data: UCF101
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb
+  Results:
+  - Dataset: UCF101
+    Metrics:
+      Top 1 Accuracy: 71.35
+      Top 5 Accuracy: 89.35
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb/20210605_213503.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb/20210605_213503.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_ucf101_rgb_20210630-181e1661.pth
+- Config: configs/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 40
+    FLOPs: 54859868160
+    Parameters: 31841445
+    Pretrained: Kinetics400
+    Training Data: UCF101
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb
+  Results:
+  - Dataset: UCF101
+    Metrics:
+      Top 1 Accuracy: 92.78
+      Top 5 Accuracy: 99.42
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb/20210606_010231.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb/20210606_010231.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb/slowonly_k400_pretrained_r50_8x4x1_40e_ucf101_rgb_20210630-ee8c850f.pth
+- Config: configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.py
+  In Collection: SlowOnly
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 8
+    Epochs: 64
+    FLOPs: 53907910656
+    Parameters: 31991022
+    Pretrained: ImageNet
+    Training Data: SthV1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb
+  Results:
+  - Dataset: SthV1
+    Metrics:
+      Top 1 Accuracy: 47.76
+      Top 5 Accuracy: 77.49
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb/slowonly_imagenet_pretrained_r50_8x4x1_64e_sthv1_rgb_20211202-d034ff12.pth