mmrotate/configs/point2rbox/metafile.yml at 97b793577199e80f85f199b6bffb99b03017c4f4 · open-mmlab/mmrotate · GitHub

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Collections:
- Name: point2rbox
  Metadata:
    Training Data: DOTAv1.0
    Training Techniques:
      - AdamW
    Training Resources: 1x GeForce RTX 4090
    Architecture:
      - ResNet
  Paper:
    URL: https://arxiv.org/pdf/2311.14758.pdf
    Title: 'Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision'
  README: configs/point2rbox/README.md

Models:
  - Name: point2rbox-yolof-dota
    In Collection: point2rbox
    Config: configs/point2rbox/point2rbox-yolof-dota.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 41.87
    Weights: https://download.openmmlab.com/mmrotate/v1.0/point2rbox/point2rbox-yolof-dota/point2rbox-yolof-dota-c94da82d.pth

  - Name: point2rbox-yolof-dior
    In Collection: point2rbox
    Config: configs/point2rbox/point2rbox-yolof-dior.py
    Metadata:
      Training Data: DIOR
    Results:
      - Task: Oriented Object Detection
        Dataset: DIOR
        Metrics:
          mAP: 27.34
    Weights: https://download.openmmlab.com/mmrotate/v1.0/point2rbox/point2rbox-yolof-dior/point2rbox-yolof-dior-f4f724df.pth

  - Name: point2rbox-yolof-hrsc
    In Collection: point2rbox
    Config: configs/point2rbox/point2rbox-yolof-hrsc.py
    Metadata:
      Training Data: HRSC
    Results:
      - Task: Oriented Object Detection
        Dataset: HRSC
        Metrics:
          mAP: 79.40
    Weights: https://download.openmmlab.com/mmrotate/v1.0/point2rbox/point2rbox-yolof-hrsc/point2rbox-yolof-hrsc-9d096323.pth