metafile.yml

Collections:
  - Name: DDQ
    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/2303.12776
      Title: 'Dense Distinct Query for End-to-End Object Detection'
    README: configs/ddq/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/dev-3.x/mmdet/models/detectors/ddq_detr.py#L21
      Version: dev-3.x

Models:
  - Name: ddq-detr-4scale_r50_8xb2-12e_coco
    In Collection: DDQ
    Config: configs/ddq/ddq-detr-4scale_r50_8xb2-12e_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 51.4
    Weights: https://download.openmmlab.com/mmdetection/v3.0/ddq/ddq-detr-4scale_r50_8xb2-12e_coco/ddq-detr-4scale_r50_8xb2-12e_coco_20230809_170711-42528127.pth

  - Name: ddq-detr-5scale_r50_8xb2-12e_coco
    In Collection: DDQ
    Config: configs/dino/ddq-detr-5scale_r50_8xb2-12e_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 52.1
    Weights: https://download.openmmlab.com/mmdetection/v3.0/ddq/ddq_detr_5scale_coco_1x.pth

  - Name: ddq-detr-4scale_swinl_8xb2-30e_coco
    In Collection: DDQ
    Config: configs/dino/ddq-detr-4scale_swinl_8xb2-30e_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 58.7
    Weights: https://download.openmmlab.com/mmdetection/v3.0/ddq/ddq_detr_swinl_30e.pth