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open-mmlab · Feb 24, 2022 · 31c2751 · 31c2751
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diff --git a/configs/resnet_strikes_back/README.md b/configs/resnet_strikes_back/README.md
@@ -1,7 +1,5 @@
 # ResNet strikes back
 
-> [ResNet strikes back: An improved training procedure in timm](https://arxiv.org/abs/2110.00476)
-
 <!-- [OTHERS] -->
 
 ## Abstract
@@ -23,7 +21,7 @@ In this paper, we re-evaluate the performance of the vanilla ResNet-50 when trai
 | Cascade Mask R-CNN |   R-50 rsb      |    1x   |  6.2     |   -            |  44.8 (+3.6)  |   39.9 (+3.6)   | [Config](./cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco.py)| [model](https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_193636-8b9ad50f.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_193636.log.json)|
 | RetinaNet   |   R-50 rsb      |    1x   |  3.8     |   -            |  39.0 (+2.5)  |    -    | [Config](./retinanet_r50_fpn_rsb-pretrain_1x_coco.py)| [model](https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco/retinanet_r50_fpn_rsb-pretrain_1x_coco_20220113_175432-bd24aae9.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco/retinanet_r50_fpn_rsb-pretrain_1x_coco_20220113_175432.log.json)|
 
-**Notes:** 
+**Notes:**
 - 'rsb' is short for 'resnet strikes back'
 - We have done some grid searches on learning rate and weight decay and get these optimal hyper-parameters.
 

diff --git a/configs/resnet_strikes_back/metafile.yml b/configs/resnet_strikes_back/metafile.yml
@@ -1,13 +1,23 @@
-
-Collections:
-  - Name: ResNet strikes back
+Models:
+  - Name: faster_rcnn_r50_fpn_rsb-pretrain_1x_coco
+    In Collection: Faster R-CNN
+    Config: configs/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
     Metadata:
+      Training Memory (GB): 3.9
+      Epochs: 12
       Training Data: COCO
       Training Techniques:
-        - AdamW
+        - SGD with Momentum
+        - Weight Decay
       Training Resources: 8x V100 GPUs
       Architecture:
         - ResNet
+    Results:
+      - Task: Object Detection
+        Dataset: COCO
+        Metrics:
+          box AP: 40.8
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_162229-32ae82a9.pth
     Paper:
       URL: https://arxiv.org/abs/2110.00476
       Title: 'ResNet strikes back: An improved training procedure in timm'
@@ -16,26 +26,19 @@ Collections:
       URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
       Version: v2.22.0
 
-Models:
-  - Name: faster_rcnn_r50_fpn_rsb-pretrain_1x_coco
-    In Collection: ResNet strikes back
-    Config: configs/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
-    Metadata:
-      Training Memory (GB): 3.9
-      Epochs: 12
-    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 40.8
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_162229-32ae82a9.pth
-
   - Name: cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco
-    In Collection: ResNet strikes back
+    In Collection: Cascade R-CNN
     Config: configs/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
     Metadata:
       Training Memory (GB): 6.2
       Epochs: 12
+      Training Data: COCO
+      Training Techniques:
+        - SGD with Momentum
+        - Weight Decay
+      Training Resources: 8x V100 GPUs
+      Architecture:
+        - ResNet
     Results:
       - Task: Object Detection
         Dataset: COCO
@@ -46,26 +49,54 @@ Models:
         Metrics:
           mask AP: 39.9
     Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_193636-8b9ad50f.pth
+    Paper:
+      URL: https://arxiv.org/abs/2110.00476
+      Title: 'ResNet strikes back: An improved training procedure in timm'
+    README: configs/resnet_strikes_back/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
+      Version: v2.22.0
 
   - Name: retinanet_r50_fpn_rsb-pretrain_1x_coco
-    In Collection: ResNet strikes back
+    In Collection: RetinaNet
     Config: configs/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco.py
     Metadata:
       Training Memory (GB): 3.8
       Epochs: 12
+      Training Data: COCO
+      Training Techniques:
+        - SGD with Momentum
+        - Weight Decay
+      Training Resources: 8x V100 GPUs
+      Architecture:
+        - ResNet
     Results:
       - Task: Object Detection
         Dataset: COCO
         Metrics:
           box AP: 39.0
     Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco/retinanet_r50_fpn_rsb-pretrain_1x_coco_20220113_175432-bd24aae9.pth
+    Paper:
+      URL: https://arxiv.org/abs/2110.00476
+      Title: 'ResNet strikes back: An improved training procedure in timm'
+    README: configs/resnet_strikes_back/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
+      Version: v2.22.0
 
   - Name: mask_rcnn_r50_fpn_rsb-pretrain_1x_coco
-    In Collection: ResNet strikes back
+    In Collection: Mask R-CNN
     Config: configs/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
     Metadata:
       Training Memory (GB): 4.5
       Epochs: 12
+      Training Data: COCO
+      Training Techniques:
+        - SGD with Momentum
+        - Weight Decay
+      Training Resources: 8x V100 GPUs
+      Architecture:
+        - ResNet
     Results:
       - Task: Object Detection
         Dataset: COCO
@@ -76,3 +107,11 @@ Models:
         Metrics:
           mask AP: 38.2
     Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_174054-06ce8ba0.pth
+    Paper:
+      URL: https://arxiv.org/abs/2110.00476
+      Title: 'ResNet strikes back: An improved training procedure in timm'
+    README: configs/resnet_strikes_back/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
+      Version: v2.22.0
+
diff --git a/model-index.yml b/model-index.yml
@@ -51,7 +51,6 @@ Import:
   - configs/reppoints/metafile.yml
   - configs/res2net/metafile.yml
   - configs/resnest/metafile.yml
-  - configs/resnet_strikes_back/metafile.yml
   - configs/retinanet/metafile.yml
   - configs/sabl/metafile.yml
   - configs/scnet/metafile.yml