--- a
+++ b/configs/detection/lfb/metafile.yml
@@ -0,0 +1,70 @@
+Collections:
+- Name: LFB
+  README: configs/detection/lfb/README.md
+  Paper:
+    URL: https://arxiv.org/abs/1812.05038
+    Title: Long-Term Feature Banks for Detailed Video Understanding
+Models:
+- Config: configs/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  In Collection: LFB
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 20
+    Input: 4x16
+    Pretrained: Kinetics-400
+    Resolution: short-side 256
+    Training Data: AVA v2.1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  Results:
+  - Dataset: AVA v2.1
+    Metrics:
+      mAP: 24.11
+    Task: Spatial Temporal Action Detection
+  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210224_125052.log.json
+  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210224_125052.log
+  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210224-2ae136d9.pth
+- Config: configs/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  In Collection: LFB
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 20
+    Input: 4x16
+    Pretrained: Kinetics-400
+    Resolution: short-side 256
+    Training Data: AVA v2.1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  Results:
+  - Dataset: AVA v2.1
+    Metrics:
+      mAP: 20.17
+    Task: Spatial Temporal Action Detection
+  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log.json
+  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log
+  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210301-19c330b7.pth
+- Config: configs/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  In Collection: LFB
+  Metadata:
+    Architecture: ResNet50
+    Batch Size: 12
+    Epochs: 20
+    Input: 4x16
+    Pretrained: Kinetics-400
+    Resolution: short-side 256
+    Training Data: AVA v2.1
+    Training Resources: 8 GPUs
+  Modality: RGB
+  Name: lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py
+  Results:
+  - Dataset: AVA v2.1
+    Metrics:
+      mAP: 22.15
+    Task: Spatial Temporal Action Detection
+  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log.json
+  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log
+  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210301-37efcd15.pth