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Models/PCL-OB-G-Ens + FRCNN

PCL-OB-G-Ens + FRCNN

Reported on 15 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology12 results

  • 3DonPASCAL VOC 2012 test
    MAP· 2018-07-09
    44.2
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 3DonImageNet
    MAP· 2018-07-09
    19.6
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D ClassificationonPASCAL VOC 2012 test
    MAP· 2018-07-09
    44.2
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D ClassificationonImageNet
    MAP· 2018-07-09
    19.6
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D Object DetectiononPASCAL VOC 2012 test
    MAP· 2018-07-09
    44.2
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D Object DetectiononImageNet
    MAP· 2018-07-09
    19.6
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 16konPASCAL VOC 2012 test
    MAP· 2018-07-09
    44.2
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 16konImageNet
    MAP· 2018-07-09
    19.6
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 3DonPASCAL VOC 2007
    MAP· 2018-07-09
    48.8
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D ClassificationonPASCAL VOC 2007
    MAP· 2018-07-09
    48.8
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 2D Object DetectiononPASCAL VOC 2007
    MAP· 2018-07-09
    48.8
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • 16konPASCAL VOC 2007
    MAP· 2018-07-09
    48.8
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342

Computer Vision3 results

  • Object DetectiononPASCAL VOC 2012 test
    MAP· 2018-07-09
    44.2
    best: 70.2 (WeakSAM-MIST-DINO (with SAM))
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • Object DetectiononImageNet
    MAP· 2018-07-09
    19.6
    SOTA
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342
  • Object DetectiononPASCAL VOC 2007
    MAP· 2018-07-09
    48.8
    best: 73.4 (WeakSAM-MIST-DINO (with SAM))
    PCL: Proposal Cluster Learning for Weakly Supervised Object DetectionarXiv:1807.03342