mmdetection/configs/regnet/metafile.yml

Models:
  - Name: mask-rcnn_regnetx-3.2GF_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-3.2GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 5.0
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.3
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco/mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-4GF_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-4GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 5.5
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-4GF_fpn_1x_coco/mask_rcnn_regnetx-4GF_fpn_1x_coco_20200517_180217-32e9c92d.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-6.4GF_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-6.4GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 6.1
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-6.4GF_fpn_1x_coco/mask_rcnn_regnetx-6.4GF_fpn_1x_coco_20200517_180439-3a7aae83.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-8GF_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-8GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 6.4
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.7
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-8GF_fpn_1x_coco/mask_rcnn_regnetx-8GF_fpn_1x_coco_20200517_180515-09daa87e.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-12GF_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-12GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.4
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.2
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-12GF_fpn_1x_coco/mask_rcnn_regnetx-12GF_fpn_1x_coco_20200517_180552-b538bd8b.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 5.0
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.3
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco/mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco_20200520_172726-75f40794.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-3.2GF_fpn_1x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-3.2GF_fpn_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:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 39.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_1x_coco/faster_rcnn_regnetx-3.2GF_fpn_1x_coco_20200517_175927-126fd9bf.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-3.2GF_fpn_2x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-3.2GF_fpn_2x_coco.py
    Metadata:
      Training Memory (GB): 4.5
      Epochs: 24
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_2x_coco/faster_rcnn_regnetx-3.2GF_fpn_2x_coco_20200520_223955-e2081918.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: retinanet_regnetx-800MF_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/regnet/retinanet_regnetx-800MF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 2.5
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 35.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-800MF_fpn_1x_coco/retinanet_regnetx-800MF_fpn_1x_coco_20200517_191403-f6f91d10.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: retinanet_regnetx-1.6GF_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/regnet/retinanet_regnetx-1.6GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 3.3
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 37.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-1.6GF_fpn_1x_coco/retinanet_regnetx-1.6GF_fpn_1x_coco_20200517_191403-37009a9d.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: retinanet_regnetx-3.2GF_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/regnet/retinanet_regnetx-3.2GF_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 4.2
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 39.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-3.2GF_fpn_1x_coco/retinanet_regnetx-3.2GF_fpn_1x_coco_20200520_163141-cb1509e8.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-400MF_fpn_ms-3x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-400MF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 2.3
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 37.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco_20210526_095112-e1967c37.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-800MF_fpn_ms-3x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-800MF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 2.8
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco_20210526_095118-a2c70b20.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 3.4
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-1_20210526_095325-94aa46cc.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 4.4
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-3_20210526_095152-e16a5227.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: faster-rcnn_regnetx-4GF_fpn_ms-3x_coco
    In Collection: Faster R-CNN
    Config: configs/regnet/faster-rcnn_regnetx-4GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 4.9
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210526_095201-65eaf841.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 5.0
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221-99879813.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco.py
    Metadata:
      Training Memory (GB): 2.5
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 37.6
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 34.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco_20210601_235443-8aac57a4.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco.py
    Metadata:
      Training Memory (GB): 2.9
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 39.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco_20210602_210641-715d51f5.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco.py
    Metadata:
      Training Memory (GB): 3.6
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641-6764cff5.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 5.0
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221-99879813.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco
    In Collection: Mask R-CNN
    Config: configs/regnet/mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco.py
    Metadata:
      Training Memory (GB): 5.1
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.4
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco_20210602_032621-00f0331c.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco
    In Collection: Cascade R-CNN
    Config: configs/regnet/cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 4.3
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.6
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco_20210715_211619-5142f449.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco
    In Collection: Cascade R-CNN
    Config: configs/regnet/cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 4.8
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco_20210715_211616-dcbd13f4.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco
    In Collection: Cascade R-CNN
    Config: configs/regnet/cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 5.4
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-1_20210715_211616-75f29a61.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco
    In Collection: Cascade R-CNN
    Config: configs/regnet/cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 6.4
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 40.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-3_20210715_211616-b9c2c58b.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

  - Name: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco
    In Collection: Cascade R-CNN
    Config: configs/regnet/cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 6.9
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RegNet
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 40.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210715_212034-cbb1be4c.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
    README: configs/regnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0