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+++ b/configs/recognition/tpn/metafile.yml
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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