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Models/NSOD

NSOD

Reported on 10 benchmarks across 5 tasks · 1 paper

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· uses extra data· 2019-12-01
    38
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 3DonPASCAL VOC 2012 test
    MAP· uses extra data· 2019-12-01
    36.6
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 2D ClassificationonPASCAL VOC 2007
    MAP· uses extra data· 2019-12-01
    38
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 2D ClassificationonPASCAL VOC 2012 test
    MAP· uses extra data· 2019-12-01
    36.6
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 2D Object DetectiononPASCAL VOC 2007
    MAP· uses extra data· 2019-12-01
    38
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 2D Object DetectiononPASCAL VOC 2012 test
    MAP· uses extra data· 2019-12-01
    36.6
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 16konPASCAL VOC 2007
    MAP· uses extra data· 2019-12-01
    38
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • 16konPASCAL VOC 2012 test
    MAP· uses extra data· 2019-12-01
    36.6
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384

Computer Vision2 results

  • Object DetectiononPASCAL VOC 2007
    MAP· uses extra data· 2019-12-01
    38
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384
  • Object DetectiononPASCAL VOC 2012 test
    MAP· uses extra data· 2019-12-01
    36.6
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesarXiv:1912.00384