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Surgical-Bleeding-AMAGI
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Collections:

- Name: TSM

  README: configs/recognition/tsm/README.md

  Paper:

    URL: https://arxiv.org/abs/1811.08383

    Title: "TSM: Temporal Shift Module for Efficient Video Understanding"

Models:

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.24

      Top 5 Accuracy: 89.56

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20200607_211800.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20200607_211800.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/tsm_r50_1x1x8_50e_kinetics400_rgb_20200607-af7fb746.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.59

      Top 5 Accuracy: 89.52

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x8_50e_kinetics400_rgb/20200725_031623.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x8_50e_kinetics400_rgb/20200725_031623.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x8_50e_kinetics400_rgb/tsm_r50_256p_1x1x8_50e_kinetics400_rgb_20200726-020785e2.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.73

      Top 5 Accuracy: 89.81

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20210616_021451.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/20210616_021451.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_kinetics400_rgb/tsm_r50_1x1x8_50e_kinetics400_rgb_20210701-68d582b4.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.9

      Top 5 Accuracy: 90.03

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_100e_kinetics400_rgb/20210617_103543.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_100e_kinetics400_rgb/20210617_103543.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_100e_kinetics400_rgb/tsm_r50_1x1x8_100e_kinetics400_rgb_20210701-7ff22268.pth

- Config: configs/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.48

      Top 5 Accuracy: 89.4

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb_20210219.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb_20210219.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb/tsm_r50_gpu_normalize_1x1x8_50e_kinetics400_rgb_20210219-bf96e6cc.pth

- Config: configs/recognition/tsm/tsm_r50_video_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_video_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.25

      Top 5 Accuracy: 89.66

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_100e_kinetics400_rgb/tsm_r50_video_2d_1x1x8_50e_kinetics400_rgb.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_100e_kinetics400_rgb/tsm_r50_video_2d_1x1x8_50e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_100e_kinetics400_rgb/tsm_r50_video_1x1x8_100e_kinetics400_rgb_20200702-a77f4328.pth

- Config: configs/recognition/tsm/tsm_r50_dense_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_dense_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.46

      Top 5 Accuracy: 90.84

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_50e_kinetics400_rgb/20210617_103245.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_50e_kinetics400_rgb/20210617_103245.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_50e_kinetics400_rgb/tsm_r50_dense_1x1x8_50e_kinetics400_rgb_20210701-a54ff3d3.pth

- Config: configs/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 32965562368

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_dense_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 74.55

      Top 5 Accuracy: 91.74

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb/20210613_034931.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb/20210613_034931.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_dense_1x1x8_100e_kinetics400_rgb/tsm_r50_dense_1x1x8_100e_kinetics400_rgb_20210701-e3e5e97f.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 50

    FLOPs: 65931124736

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x16_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.09

      Top 5 Accuracy: 90.37

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20201011_205356.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20201011_205356.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/tsm_r50_340x256_1x1x16_50e_kinetics400_rgb_20201011-2f27f229.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 50

    FLOPs: 65931124736

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x16_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.89

      Top 5 Accuracy: 90.73

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/20201010_224825.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/20201010_224825.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/tsm_r50_256p_1x1x16_50e_kinetics400_rgb_20201010-85645c2a.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x16_100e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 100

    FLOPs: 65931124736

    Parameters: 24327632

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x16_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.80

      Top 5 Accuracy: 90.75

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20210621_115844.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/20210621_115844.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb/tsm_r50_1x1x16_50e_kinetics400_rgb_20210701-7c0c5d54.pth

- Config: configs/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 49457811456

    Parameters: 31682000

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.03

      Top 5 Accuracy: 90.25

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200724_120023.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200724_120023.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20200724-f00f1336.pth

- Config: configs/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 41231355904

    Parameters: 28007888

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 70.7

      Top 5 Accuracy: 89.9

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200815_210253.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/20200815_210253.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20200816-b93fd297.pth

- Config: configs/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 49457811456

    Parameters: 31682000

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 71.6

      Top 5 Accuracy: 90.34

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb/20200723_220442.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb/20200723_220442.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb_20200724-d8ad84d2.pth

- Config: configs/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: MobileNetV2

    Batch Size: 8

    Epochs: 100

    FLOPs: 3337519104

    Parameters: 2736272

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 68.46

      Top 5 Accuracy: 88.64

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb/20210129_024936.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb/20210129_024936.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb/tsm_mobilenetv2_dense_320p_1x1x8_100e_kinetics400_rgb_20210202-61135809.pth

- Config: configs/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32959795200

    Parameters: 23606384

    Pretrained: ImageNet

    Training Data: Diving48

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_video_1x1x8_50e_diving48_rgb

  Results:

  - Dataset: Diving48

    Metrics:

      Top 1 Accuracy: 75.99

      Top 5 Accuracy: 97.16

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb/20210426_012424.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb/20210426_012424.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x8_50e_diving48_rgb/tsm_r50_video_1x1x8_50e_diving48_rgb_20210426-aba5aa3d.pth

- Config: configs/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 4

    Epochs: 50

    FLOPs: 65919590400

    Parameters: 23606384

    Pretrained: ImageNet

    Training Data: Diving48

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_video_1x1x16_50e_diving48_rgb

  Results:

  - Dataset: Diving48

    Metrics:

      Top 1 Accuracy: 81.62

      Top 5 Accuracy: 97.66

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb/20210426_012823.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb/20210426_012823.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_video_1x1x16_50e_diving48_rgb/tsm_r50_video_1x1x16_50e_diving48_rgb_20210426-aa9631c0.pth

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 47.7

      Top 1 Accuracy (efficient): 45.58

      Top 5 Accuracy: 76.12

      Top 5 Accuracy (efficient): 75.02

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb/20210203_150227.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb/20210203_150227.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv1_rgb/tsm_r50_1x1x8_50e_sthv1_rgb_20210203-01dce462.pth

  reference top1 acc (efficient/accurate): '[45.50 / 47.33](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[74.34 / 76.60](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_flip_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 48.51

      Top 1 Accuracy (efficient): 47.1

      Top 5 Accuracy: 77.56

      Top 5 Accuracy (efficient): 76.02

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb/20210203_145829.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb/20210203_145829.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_1x1x8_50e_sthv1_rgb/tsm_r50_flip_1x1x8_50e_sthv1_rgb_20210203-12596f16.pth

  reference top1 acc (efficient/accurate): '[45.50 / 47.33](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[74.34 / 76.60](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_randaugment_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 48.9

      Top 1 Accuracy (efficient): 47.16

      Top 5 Accuracy: 77.92

      Top 5 Accuracy (efficient): 76.07

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_randaugment_1x1x8_50e_sthv1_rgb_20210324-481268d9.pth

  reference top1 acc (efficient/accurate): '[45.50 / 47.33](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[74.34 / 76.60](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 50.31

      Top 1 Accuracy (efficient): 47.85

      Top 5 Accuracy: 78.18

      Top 5 Accuracy (efficient): 76.78

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb/tsm_r50_flip_randaugment_1x1x8_50e_sthv1_rgb_20210324-76937692.pth

  reference top1 acc (efficient/accurate): '[45.50 / 47.33](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[74.34 / 76.60](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 50

    FLOPs: 65923719168

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x16_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 49.03

      Top 1 Accuracy (efficient): 47.77

      Top 5 Accuracy: 77.83

      Top 5 Accuracy (efficient): 76.82

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb/tsm_r50_1x1x16_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb/tsm_r50_1x1x16_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb/tsm_r50_1x1x16_50e_sthv1_rgb_20211202-b922e5d2.pth

  reference top1 acc (efficient/accurate): '[47.05 / 48.61](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[76.40 / 77.96](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 62782459904

    Parameters: 42856686

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r101_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 48.59

      Top 1 Accuracy (efficient): 46.09

      Top 5 Accuracy: 77.10

      Top 5 Accuracy (efficient): 75.41

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb/tsm_r101_1x1x8_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb/tsm_r101_1x1x8_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb/tsm_r101_1x1x8_50e_sthv1_rgb_20211202-49970a5b.pth

  reference top1 acc (efficient/accurate): '[46.64 / 48.13](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[75.40 / 77.31](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 256

    Training Data: SthV2

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_sthv2_rgb

  Results:

  - Dataset: SthV2

    Metrics:

      Top 1 Accuracy: 61.82

      Top 1 Accuracy (efficient): 59.11

      Top 5 Accuracy: 86.80

      Top 5 Accuracy (efficient): 85.39

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20210816_224310.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/20210816_224310.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb/tsm_r50_256h_1x1x8_50e_sthv2_rgb_20210816-032aa4da.pth

  reference top1 acc (efficient/accurate): '[57.98 / 60.69](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[84.57 / 86.28](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 50

    FLOPs: 32961859584

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 256

    Training Data: SthV2

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x16_50e_sthv2_rgb

  Results:

  - Dataset: SthV2

    Metrics:

      Top 1 Accuracy: 63.19

      Top 1 Accuracy (efficient): 61.06

      Top 5 Accuracy: 87.93

      Top 5 Accuracy (efficient): 86.66

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20210331_134458.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/20210331_134458.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb/tsm_r50_256h_1x1x16_50e_sthv2_rgb_20210331-0a45549c.pth

  reference top1 acc (efficient/accurate): '[xx / 63.1](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[xx / xx](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet101

    Batch Size: 8

    Epochs: 50

    FLOPs: 62782459904

    Parameters: 42856686

    Pretrained: ImageNet

    Resolution: height 256

    Training Data: SthV2

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r101_1x1x8_50e_sthv2_rgb

  Results:

  - Dataset: SthV2

    Metrics:

      Top 1 Accuracy: 63.84

      Top 1 Accuracy (efficient): 60.88

      Top 5 Accuracy: 88.30

      Top 5 Accuracy (efficient): 86.56

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb/20210401_143656.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb/20210401_143656.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb/tsm_r101_256h_1x1x8_50e_sthv2_rgb_20210401-df97f3e1.pth

  reference top1 acc (efficient/accurate): '[xx / 63.3](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

  reference top5 acc (efficient/accurate): '[xx / xx](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd#training)'

- Config: configs/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 43051352064

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_mixup_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 48.49

      Top 1 Accuracy (efficient): 46.35

      Top 5 Accuracy: 76.88

      Top 5 Accuracy (efficient): 75.07

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb/tsm_r50_mixup_1x1x8_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb/tsm_r50_mixup_1x1x8_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_mixup_1x1x8_50e_sthv1_rgb/tsm_r50_mixup_1x1x8_50e_sthv1_rgb-9eca48e5.pth

  delta top1 acc (efficient/accurate): +0.77 / +0.79

  delta top5 acc (efficient/accurate): +0.05 / +0.70

- Config: configs/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 43051352064

    Parameters: 23864558

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_cutmix_1x1x8_50e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 47.46

      Top 1 Accuracy (efficient): 45.92

      Top 5 Accuracy: 76.71

      Top 5 Accuracy (efficient): 75.23

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb/tsm_r50_cutmix_1x1x8_50e_sthv1_rgb-34934615.pth

  delta top1 acc (efficient/accurate): +0.34 / -0.24

  delta top5 acc (efficient/accurate): +0.21 / +0.59

- Config: configs/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 50

    FLOPs: 43048943616

    Parameters: 23563355

    Pretrained: ImageNet

    Resolution: height 100

    Training Data: Jester

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_r50_1x1x8_50e_jester_rgb

  Results:

  - Dataset: Jester

    Metrics:

      Top 1 Accuracy: 97.2

      Top 1 Accuracy (efficient): 96.5

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb/tsm_r50_1x1x8_50e_jester_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb/tsm_r50_1x1x8_50e_jester_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_1x1x8_50e_jester_rgb/tsm_r50_1x1x8_50e_jester_rgb-c799267e.pth

- Config: configs/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 25

    FLOPs: 32959844352

    Parameters: 23612531

    Pretrained: Kinetics400

    Training Data: HMDB51

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb

  Results:

  - Dataset: HMDB51

    Metrics:

      Top 1 Accuracy: 72.68

      Top 5 Accuracy: 92.03

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb/20210605_182554.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb/20210605_182554.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb/tsm_k400_pretrained_r50_1x1x8_25e_hmdb51_rgb_20210630-10c74ee5.pth

  gpu_mem(M): '10388'

- Config: configs/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 25

    FLOPs: 65919688704

    Parameters: 23612531

    Pretrained: Kinetics400

    Training Data: HMDB51

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb

  Results:

  - Dataset: HMDB51

    Metrics:

      Top 1 Accuracy: 74.77

      Top 5 Accuracy: 93.86

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb/20210605_182505.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb/20210605_182505.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb/tsm_k400_pretrained_r50_1x1x16_25e_hmdb51_rgb_20210630-4785548e.pth

  gpu_mem(M): '10388'

- Config: configs/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 25

    FLOPs: 32960663552

    Parameters: 23714981

    Pretrained: Kinetics400

    Training Data: UCF101

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb

  Results:

  - Dataset: UCF101

    Metrics:

      Top 1 Accuracy: 94.5

      Top 5 Accuracy: 99.58

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb/20210605_182720.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb/20210605_182720.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb/tsm_k400_pretrained_r50_1x1x8_25e_ucf101_rgb_20210630-1fae312b.pth

  gpu_mem(M): '10389'

- Config: configs/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: ResNet50

    Batch Size: 6

    Epochs: 25

    FLOPs: 65921327104

    Parameters: 23714981

    Pretrained: Kinetics400

    Training Data: UCF101

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb

  Results:

  - Dataset: UCF101

    Metrics:

      Top 1 Accuracy: 94.58

      Top 5 Accuracy: 99.37

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb/20210605_182720.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb/20210605_182720.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb/tsm_k400_pretrained_r50_1x1x16_25e_ucf101_rgb_20210630-8df9c358.pth

  gpu_mem(M): '10389'

- Config: configs/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_100e_kinetics400_rgb.py

  In Collection: TSM

  Metadata:

    Architecture: MobileNetV2

    Batch Size: 8

    Epochs: 100

    FLOPs: 3337519104

    Parameters: 2736272

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: tsm_mobilenetv2_dense_1x1x8_kinetics400_rgb_port

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 69.89

      Top 5 Accuracy: 89.01

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/tsm/tsm_mobilenetv2_dense_1x1x8_kinetics400_rgb_port_20210922-aa5cadf6.pth

  gpu_mem(M): '3385'