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[Enchance] Update the paper and code fields in the metafile (open-mmlab#6043)
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‎configs/atss/metafile.yml

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- ATSS
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- FPN
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- ResNet
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Paper: https://arxiv.org/abs/1912.02424
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Paper:
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URL: https://arxiv.org/abs/1912.02424
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Title: 'Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection'
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README: configs/atss/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/atss.py#L6
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Version: v2.0.0
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- Name: atss_r50_fpn_1x_coco

‎configs/autoassign/metafile.yml

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- AutoAssign
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- FPN
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- ResNet
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Paper: https://arxiv.org/abs/2007.03496
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Paper:
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URL: https://arxiv.org/abs/2007.03496
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Title: 'AutoAssign: Differentiable Label Assignment for Dense Object Detection'
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README: configs/autoassign/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/detectors/autoassign.py#L6
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Version: v2.12.0
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- Name: autoassign_r50_fpn_8x2_1x_coco

‎configs/cascade_rcnn/metafile.yml

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- RPN
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- ResNet
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- RoIAlign
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Paper: http://dx.doi.org/10.1109/tpami.2019.2956516
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Paper:
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URL: http://dx.doi.org/10.1109/tpami.2019.2956516
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Title: 'Cascade R-CNN: Delving into High Quality Object Detection'
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README: configs/cascade_rcnn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/cascade_rcnn.py#L6
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Version: v2.0.0
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- Name: cascade_rcnn_r50_caffe_fpn_1x_coco

‎configs/centernet/metafile.yml

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Training Resources: 8x TITANXP GPUs
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Architecture:
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- ResNet
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Paper: https://arxiv.org/abs/1904.07850
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Paper:
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URL: https://arxiv.org/abs/1904.07850
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Title: 'Objects as Points'
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README: configs/centernet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.13.0/mmdet/models/detectors/centernet.py#L10
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Version: v2.13.0
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- Name: centernet_resnet18_dcnv2_140e_coco

‎configs/centripetalnet/metafile.yml

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Architecture:
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- Corner Pooling
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- Stacked Hourglass Network
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Paper: https://arxiv.org/abs/2003.09119
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Paper:
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URL: https://arxiv.org/abs/2003.09119
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Title: 'CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection'
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README: configs/centripetalnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.5.0/mmdet/models/detectors/cornernet.py#L9
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Version: v2.5.0
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- Name: centripetalnet_hourglass104_mstest_16x6_210e_coco

‎configs/cornernet/metafile.yml

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Architecture:
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- Corner Pooling
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- Stacked Hourglass Network
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Paper: https://arxiv.org/abs/1808.01244
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Paper:
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URL: https://arxiv.org/abs/1808.01244
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Title: 'CornerNet: Detecting Objects as Paired Keypoints'
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README: configs/cornernet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.3.0/mmdet/models/detectors/cornernet.py#L9
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Version: v2.3.0
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- Name: cornernet_hourglass104_mstest_10x5_210e_coco

‎configs/dcn/metafile.yml

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Training Resources: 8x V100 GPUs
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Architecture:
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- Deformable Convolution
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Paper: https://arxiv.org/abs/1811.11168
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Paper:
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URL: https://arxiv.org/abs/1811.11168
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Title: 'Deformable ConvNets v2: More Deformable, Better Results'
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README: configs/dcn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/ops/dcn/deform_conv.py#L15
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Version: v2.0.0
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- Name: faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco

‎configs/deformable_detr/metafile.yml

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Architecture:
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- ResNet
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- Transformer
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Paper: https://openreview.net/forum?id=gZ9hCDWe6ke
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Paper:
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URL: https://openreview.net/forum?id=gZ9hCDWe6ke
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Title: 'Deformable DETR: Deformable Transformers for End-to-End Object Detection'
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README: configs/deformable_detr/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/detectors/deformable_detr.py#L6
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Version: v2.12.0
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- Name: deformable_detr_r50_16x2_50e_coco

‎configs/detectors/metafile.yml

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- ResNet
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- RoIAlign
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- SAC
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Paper: https://arxiv.org/abs/2006.02334
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Paper:
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URL: https://arxiv.org/abs/2006.02334
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Title: 'DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution'
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README: configs/detectors/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/backbones/detectors_resnet.py#L205
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Version: v2.2.0
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- Name: cascade_rcnn_r50_rfp_1x_coco

‎configs/detr/metafile.yml

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Architecture:
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- ResNet
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- Transformer
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Paper: https://arxiv.org/abs/2005.12872
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Paper:
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URL: https://arxiv.org/abs/2005.12872
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Title: 'End-to-End Object Detection with Transformers'
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README: configs/detr/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/detectors/detr.py#L7
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Version: v2.7.0
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- Name: detr_r50_8x2_150e_coco

‎configs/double_heads/metafile.yml

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- RPN
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- ResNet
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- RoIAlign
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Paper: https://arxiv.org/pdf/1904.06493
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Paper:
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URL: https://arxiv.org/pdf/1904.06493
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Title: 'Rethinking Classification and Localization for Object Detection'
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README: configs/double_heads/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/roi_heads/double_roi_head.py#L6
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Version: v2.0.0
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- Name: dh_faster_rcnn_r50_fpn_1x_coco

‎configs/dynamic_rcnn/metafile.yml

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- RPN
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- ResNet
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- RoIAlign
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Paper: https://arxiv.org/pdf/2004.06002
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Paper:
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URL: https://arxiv.org/pdf/2004.06002
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Title: 'Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training'
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README: configs/dynamic_rcnn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/roi_heads/dynamic_roi_head.py#L11
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Version: v2.2.0
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- Name: dynamic_rcnn_r50_fpn_1x_coco

‎configs/empirical_attention/metafile.yml

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- ResNet
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- RoIAlign
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- Spatial Attention
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Paper: https://arxiv.org/pdf/1904.05873
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Paper:
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URL: https://arxiv.org/pdf/1904.05873
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Title: 'An Empirical Study of Spatial Attention Mechanisms in Deep Networks'
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README: configs/empirical_attention/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/ops/generalized_attention.py#L10
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Version: v2.0.0
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- Name: faster_rcnn_r50_fpn_attention_1111_1x_coco

‎configs/faster_rcnn/metafile.yml

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- RPN
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- ResNet
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- RoIPool
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Paper: https://arxiv.org/abs/1506.01497
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Paper:
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URL: https://arxiv.org/abs/1506.01497
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Title: 'Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks'
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README: configs/faster_rcnn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/faster_rcnn.py#L6
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Version: v2.0.0
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- Name: faster_rcnn_r50_caffe_dc5_1x_coco

‎configs/fcos/metafile.yml

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- FPN
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- Group Normalization
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- ResNet
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Paper: https://arxiv.org/abs/1904.01355
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Paper:
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URL: https://arxiv.org/abs/1904.01355
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Title: 'FCOS: Fully Convolutional One-Stage Object Detection'
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README: configs/fcos/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/fcos.py#L6
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Version: v2.0.0
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- Name: fcos_r50_caffe_fpn_gn-head_1x_coco

‎configs/foveabox/metafile.yml

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- FPN
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- ResNet
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Paper: https://arxiv.org/abs/1904.03797
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Paper:
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URL: https://arxiv.org/abs/1904.03797
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Title: 'FoveaBox: Beyond Anchor-based Object Detector'
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README: configs/foveabox/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/fovea.py#L6
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Version: v2.0.0
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- Name: fovea_r50_fpn_4x4_1x_coco

‎configs/fp16/metafile.yml

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- Mixed Precision Training
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Paper: https://arxiv.org/abs/1710.03740
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URL: https://arxiv.org/abs/1710.03740
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Title: 'Mixed Precision Training'
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README: configs/fp16/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/core/fp16/hooks.py#L11
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Version: v2.0.0
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- Name: faster_rcnn_r50_fpn_fp16_1x_coco

‎configs/fpg/metafile.yml

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Paper: https://arxiv.org/abs/2004.03580
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URL: https://arxiv.org/abs/2004.03580
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Title: 'Feature Pyramid Grids'
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README: configs/fpg/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.10.0/mmdet/models/necks/fpg.py#L101
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Version: v2.10.0
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- Name: faster_rcnn_r50_fpg_crop640_50e_coco

‎configs/free_anchor/metafile.yml

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Architecture:
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- ResNet
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Paper: https://arxiv.org/abs/1909.02466
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URL: https://arxiv.org/abs/1909.02466
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Title: 'FreeAnchor: Learning to Match Anchors for Visual Object Detection'
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README: configs/free_anchor/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/dense_heads/free_anchor_retina_head.py#L10
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Version: v2.0.0
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- Name: retinanet_free_anchor_r50_fpn_1x_coco

‎configs/fsaf/metafile.yml

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- FSAF
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- ResNet
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Paper: https://arxiv.org/abs/1903.00621
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URL: https://arxiv.org/abs/1903.00621
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Title: 'Feature Selective Anchor-Free Module for Single-Shot Object Detection'
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README: configs/fsaf/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/detectors/fsaf.py#L6
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Version: v2.1.0
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- Name: fsaf_r50_fpn_1x_coco

‎configs/gcnet/metafile.yml

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Paper: https://arxiv.org/abs/1904.11492
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URL: https://arxiv.org/abs/1904.11492
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Title: 'GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond'
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README: configs/gcnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/ops/context_block.py#L13
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Version: v2.0.0
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- Name: mask_rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco

‎configs/gfl/metafile.yml

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- Generalized Focal Loss
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- FPN
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- ResNet
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Paper: https://arxiv.org/abs/2006.04388
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Paper:
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URL: https://arxiv.org/abs/2006.04388
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Title: 'Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection'
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README: configs/gfl/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/detectors/gfl.py#L6
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Version: v2.2.0
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- Name: gfl_r50_fpn_1x_coco

‎configs/ghm/metafile.yml

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- GHM-R
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- FPN
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- ResNet
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Paper: https://arxiv.org/abs/1811.05181
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Paper:
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URL: https://arxiv.org/abs/1811.05181
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Title: 'Gradient Harmonized Single-stage Detector'
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README: configs/ghm/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/losses/ghm_loss.py#L21
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Version: v2.0.0
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- Name: retinanet_ghm_r50_fpn_1x_coco

‎configs/gn+ws/metafile.yml

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- Group Normalization
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- Weight Standardization
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Paper: https://arxiv.org/abs/1903.10520
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Paper:
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URL: https://arxiv.org/abs/1903.10520
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Title: 'Weight Standardization'
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README: configs/gn+ws/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/gn%2Bws/mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py
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Version: v2.0.0
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- Name: faster_rcnn_r50_fpn_gn_ws-all_1x_coco

‎configs/gn/metafile.yml

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- Group Normalization
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URL: https://arxiv.org/abs/1803.08494
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Title: 'Group Normalization'
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README: configs/gn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py
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Version: v2.0.0
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- Name: mask_rcnn_r50_fpn_gn-all_2x_coco

‎configs/grid_rcnn/metafile.yml

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- Dilated Convolution
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- RoIAlign
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Paper: https://arxiv.org/abs/1906.05688
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URL: https://arxiv.org/abs/1906.05688
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Title: 'Grid R-CNN'
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README: configs/grid_rcnn/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/grid_rcnn.py#L6
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Version: v2.0.0
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- Name: grid_rcnn_r50_fpn_gn-head_2x_coco

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