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add model TSM  
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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