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Models/GRAN

GRAN

Reported on 10 benchmarks across 5 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

  • 3DonMS-COCO
    Recall
    62.7
    best: 69.1 (UniFa)
  • 3DonMS-COCO
    mAP
    14.9
    best: 26 (UniFa)
  • 2D ClassificationonMS-COCO
    Recall
    62.7
    best: 69.1 (UniFa)
  • 2D ClassificationonMS-COCO
    mAP
    14.9
    best: 26 (UniFa)
  • 2D Object DetectiononMS-COCO
    Recall
    62.7
    best: 69.1 (UniFa)
  • 2D Object DetectiononMS-COCO
    mAP
    14.9
    best: 26 (UniFa)
  • 16konMS-COCO
    Recall
    62.7
    best: 69.1 (UniFa)
  • 16konMS-COCO
    mAP
    14.9
    best: 26 (UniFa)

Computer Vision2 results

  • Object DetectiononMS-COCO
    Recall
    62.7
    best: 69.1 (UniFa)
  • Object DetectiononMS-COCO
    mAP
    14.9
    best: 26 (UniFa)