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Collections:

- Name: TimeSformer

  README: configs/recognition/timesformer/README.md

  Paper:

    URL: https://arxiv.org/abs/2102.05095

    Title: Is Space-Time Attention All You Need for Video Understanding

Models:

- Config: configs/recognition/timesformer/timesformer_divST_8x32x1_15e_kinetics400_rgb.py

  In Collection: TimeSformer

  Metadata:

    Architecture: TimeSformer

    Batch Size: 8

    Epochs: 15

    Pretrained: ImageNet-21K

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: timesformer_divST_8x32x1_15e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 77.92

      Top 5 Accuracy: 93.29

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_divST_8x32x1_15e_kinetics400_rgb/timesformer_divST_8x32x1_15e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_divST_8x32x1_15e_kinetics400_rgb/timesformer_divST_8x32x1_15e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_divST_8x32x1_15e_kinetics400_rgb/timesformer_divST_8x32x1_15e_kinetics400_rgb-3f8e5d03.pth

- Config: configs/recognition/timesformer/timesformer_jointST_8x32x1_15e_kinetics400_rgb.py

  In Collection: TimeSformer

  Metadata:

    Architecture: TimeSformer

    Batch Size: 7

    Epochs: 15

    Pretrained: ImageNet-21K

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: timesformer_jointST_8x32x1_15e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 77.01

      Top 5 Accuracy: 93.08

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_jointST_8x32x1_15e_kinetics400_rgb/timesformer_jointST_8x32x1_15e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_jointST_8x32x1_15e_kinetics400_rgb/timesformer_jointST_8x32x1_15e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_jointST_8x32x1_15e_kinetics400_rgb/timesformer_jointST_8x32x1_15e_kinetics400_rgb-0d6e3984.pth

- Config: configs/recognition/timesformer/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb.py

  In Collection: TimeSformer

  Metadata:

    Architecture: TimeSformer

    Batch Size: 8

    Epochs: 15

    Pretrained: ImageNet-21K

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 76.93

      Top 5 Accuracy: 92.90

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/timesformer/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb/timesformer_spaceOnly_8x32x1_15e_kinetics400_rgb-0cf829cd.pth