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+Collections:
+- Name: TIN
+  README: configs/recognition/tin/README.md
+  Paper:
+    URL: https://arxiv.org/abs/2001.06499
+    Title: Temporal Interlacing Network
+Models:
+- Config: configs/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb.py
+  In Collection: TIN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 6
+    Epochs: 40
+    FLOPs: 32962097536
+    Parameters: 23895566
+    Pretrained: ImageNet
+    Resolution: height 100
+    Training Data: SthV1
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: tin_r50_1x1x8_40e_sthv1_rgb
+  Results:
+  - Dataset: SthV1
+    Metrics:
+      Top 1 Accuracy: 44.25
+      Top 5 Accuracy: 73.94
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb/20200729_034132.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb/20200729_034132.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb/tin_r50_1x1x8_40e_sthv1_rgb_20200729-4a33db86.pth
+- Config: configs/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb.py
+  In Collection: TIN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 6
+    Epochs: 40
+    FLOPs: 32962097536
+    Parameters: 23895566
+    Pretrained: ImageNet
+    Resolution: height 240
+    Training Data: SthV2
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: tin_r50_1x1x8_40e_sthv2_rgb
+  Results:
+  - Dataset: SthV2
+    Metrics:
+      Top 1 Accuracy: 56.7
+      Top 5 Accuracy: 83.62
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb/20200912_225451.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb/20200912_225451.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb/tin_r50_1x1x8_40e_sthv2_rgb_20200912-b27a7337.pth
+- Config: configs/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb.py
+  In Collection: TIN
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 6
+    Epochs: 50
+    FLOPs: 32965800320
+    Parameters: 24358640
+    Pretrained: TSM-Kinetics400
+    Resolution: short-side 256
+    Training Data: Kinetics-400
+    Training Resources: 32 GPUs
+  Modality: RGB
+  Name: tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb
+  Results:
+  - Dataset: Kinetics-400
+    Metrics:
+      Top 1 Accuracy: 70.89
+      Top 5 Accuracy: 89.89
+    Task: Action Recognition
+  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb/20200809_142447.log.json
+  Training Log: https://download.openmmlab.com/mmaction/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb/20200809_142447.log
+  Weights: https://download.openmmlab.com/mmaction/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb_20200810-4a146a70.pth