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Collections:

- Name: TPN

  README: configs/recognition/tpn/README.md

  Paper:

    URL: https://arxiv.org/abs/2004.03548

    Title: Temporal Pyramid Network for Action Recognition

Models:

- Config: configs/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb.py

  In Collection: TPN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 150

    FLOPs: 66014576640

    Parameters: 91498336

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tpn_slowonly_r50_8x8x1_150e_kinetics_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.58

      top5 accuracy: 91.35

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb-c568e7ad.pth

- Config: configs/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb.py

  In Collection: TPN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 150

    FLOPs: 66014576640

    Parameters: 91498336

    Pretrained: ImageNet

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 76.59

      top5 accuracy: 92.72

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb-44362b55.pth

- Config: configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py

  In Collection: TPN

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 150

    FLOPs: 54202822656

    Parameters: 82445724

    Pretrained: TSM

    Resolution: height 100

    Training Data: SthV1

    Training Resources: 48 GPUs

  Modality: RGB

  Name: tpn_tsm_r50_1x1x8_150e_sthv1_rgb

  Results:

  - Dataset: SthV1

    Metrics:

      Top 1 Accuracy: 51.50

      Top 5 Accuracy: 79.15

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.log

  Weights: https://download.openmmlab.com/mmaction/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb/tpn_tsm_r50_1x1x8_150e_sthv1_rgb_20211202-c28ed83f.pth