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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