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Models/WS-JDS FRCNN

WS-JDS FRCNN

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

  • 3DonPASCAL VOC 2007
    MAP
    52.5
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
  • 3DonPASCAL VOC 2012 test
    MAP
    46.1
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
  • 2D ClassificationonPASCAL VOC 2007
    MAP
    52.5
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
  • 2D ClassificationonPASCAL VOC 2012 test
    MAP
    46.1
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
  • 2D Object DetectiononPASCAL VOC 2007
    MAP
    52.5
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
  • 2D Object DetectiononPASCAL VOC 2012 test
    MAP
    46.1
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
  • 16konPASCAL VOC 2007
    MAP
    52.5
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
  • 16konPASCAL VOC 2012 test
    MAP
    46.1
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))

Computer Vision2 results

  • Object DetectiononPASCAL VOC 2007
    MAP
    52.5
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
  • Object DetectiononPASCAL VOC 2012 test
    MAP
    46.1
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))