Add metafile to ConditionalDETR DABDETR and DINO

configs/conditional_detr/metafile.yml

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+Collections:
+  - Name: Conditional DETR
+    Metadata:
+      Training Data: COCO
+      Training Techniques:
+        - AdamW
+        - Multi Scale Train
+        - Gradient Clip
+      Training Resources: 8x A100 GPUs
+      Architecture:
+        - ResNet
+        - Transformer
+    Paper:
+      URL: https://arxiv.org/abs/2108.06152
+      Title: 'Conditional DETR for Fast Training Convergence'
+    README: configs/conditional_detr/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/conditional_detr.py#L14
+      Version: v3.0.0rc6
+
+Models:
+  - Name: conditional-detr_r50_8xb2-50e_coco.py
+    In Collection: Conditional DETR
+    Config: configs/conditional_detr/conditional-detr_r50_8xb2-50e_coco.py
+    Metadata:
+      Epochs: 50
+    Results:
+      - Task: Object Detection
+        Dataset: COCO
+        Metrics:
+          box AP: 40.9
+    Weights: https://download.openmmlab.com/mmdetection/v3.0/conditional_detr/conditional-detr_r50_8xb2-50e_coco/conditional-detr_r50_8xb2-50e_coco_20221121_180202-c83a1dc0.pth

configs/dab_detr/metafile.yml

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+Collections:
+  - Name: DAB-DETR
+    Metadata:
+      Training Data: COCO
+      Training Techniques:
+        - AdamW
+        - Multi Scale Train
+        - Gradient Clip
+      Training Resources: 8x A100 GPUs
+      Architecture:
+        - ResNet
+        - Transformer
+    Paper:
+      URL: https://arxiv.org/abs/2201.12329
+      Title: 'DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR'
+    README: configs/dab_detr/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dab_detr.py#L15
+      Version: v3.0.0rc6
+
+Models:
+  - Name: dab-detr_r50_8xb2-50e_coco.py
+    In Collection: DAB-DETR
+    Config: configs/dab_detr/dab-detr_r50_8xb2-50e_coco.py
+    Metadata:
+      Epochs: 50
+    Results:
+      - Task: Object Detection
+        Dataset: COCO
+        Metrics:
+          box AP: 42.3
+    Weights: https://download.openmmlab.com/mmdetection/v3.0/dab_detr/dab-detr_r50_8xb2-50e_coco/dab-detr_r50_8xb2-50e_coco_20221122_120837-c1035c8c.pth

configs/dino/metafile.yml

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+Collections:
+  - Name: DINO
+    Metadata:
+      Training Data: COCO
+      Training Techniques:
+        - AdamW
+        - Multi Scale Train
+        - Gradient Clip
+      Training Resources: 8x A100 GPUs
+      Architecture:
+        - ResNet
+        - Transformer
+    Paper:
+      URL: https://arxiv.org/abs/2203.03605
+      Title: 'DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection'
+    README: configs/dino/README.md
+    Code:
+      URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dino.py#L17
+      Version: v3.0.0rc6
+
+Models:
+  - Name: dino-4scale_r50_8xb2-12e_coco.py
+    In Collection: DINO
+    Config: configs/dino/dino-4scale_r50_8xb2-12e_coco.py
+    Metadata:
+      Epochs: 12
+    Results:
+      - Task: Object Detection
+        Dataset: COCO
+        Metrics:
+          box AP: 49.0
+    Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-4scale_r50_8xb2-12e_coco/dino-4scale_r50_8xb2-12e_coco_20221202_182705-55b2bba2.pth
+
+  - Name: dino-4scale_r50_8xb2-24e_coco.py
+    In Collection: DINO
+    Config: configs/dino/dino-4scale_r50_8xb2-24e_coco.py
+    Metadata:
+      Epochs: 24
+    Results:
+      - Task: Object Detection
+        Dataset: COCO
+
+  - Name:  dino-4scale_r50_8xb2-24e_coco.py
+    In Collection: DINO
+    Config: configs/dino/dino-4scale_r50_8xb2-36e_coco.py
+    Metadata:
+      Epochs: 36
+    Results:
+      - Task: Object Detection
+        Dataset: COCO