mmdetection/configs/queryinst/metafile.yml

Collections:
  - Name: QueryInst
    Metadata:
      Training Data: COCO
      Training Techniques:
        - AdamW
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - FPN
        - ResNet
        - QueryInst
    Paper:
      URL: https://openaccess.thecvf.com/content/ICCV2021/papers/Fang_Instances_As_Queries_ICCV_2021_paper.pdf
      Title: 'Instances as Queries'
    README: configs/queryinst/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/main/mmdet/models/detectors/queryinst.py
      Version: v2.18.0

Models:
  - Name: queryinst_r50_fpn_1x_coco
    In Collection: QueryInst
    Config: configs/queryinst/queryinst_r50_fpn_1x_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_1x_coco/queryinst_r50_fpn_1x_coco_20210907_084916-5a8f1998.pth

  - Name: queryinst_r50_fpn_ms-480-800-3x_coco
    In Collection: QueryInst
    Config: configs/queryinst/queryinst_r50_fpn_ms-480-800-3x_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_mstrain_480-800_3x_coco/queryinst_r50_fpn_mstrain_480-800_3x_coco_20210901_103643-7837af86.pth

  - Name: queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco
    In Collection: QueryInst
    Config: configs/queryinst/queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 47.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_101802-85cffbd8.pth

  - Name: queryinst_r101_fpn_ms-480-800-3x_coco
    In Collection: QueryInst
    Config: configs/queryinst/queryinst_r101_fpn_ms-480-800-3x_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 46.4
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_mstrain_480-800_3x_coco/queryinst_r101_fpn_mstrain_480-800_3x_coco_20210904_104048-91f9995b.pth

  - Name: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco
    In Collection: QueryInst
    Config: configs/queryinst/queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 49.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 42.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco/queryinst_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20210904_153621-76cce59f.pth