TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/CIM + Mask R-CNN

CIM + Mask R-CNN

Reported on 13 benchmarks across 2 tasks · 1 paper · 5 SOTA

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

Computer Vision17 results

  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.25· uses extra data· 2024-02-12
    68.7
    best: 73.4 (WeakSAM-Mask2Former (with SAM))
    SOTA
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.7· uses extra data· 2024-02-12
    37.1
    best: 49.7 (WeakSAM-Mask2Former (with SAM))
    SOTA
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO 2017 val
    AP@75· uses extra data· 2024-02-12
    17
    best: 27 (WeakSAM-Mask2Former (with SAM))
    SOTA
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO test-dev
    AP@75· uses extra data· 2024-02-12
    17.3
    best: 27.9 (WeakSAM-Mask2Former (with SAM))
    SOTA
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.75· uses extra data· 2024-02-12
    31.1
    best: 45.3 (WeakSAM-Mask2Former (with SAM))
    SOTA
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Weakly-supervised instance segmentationonPASCAL VOC 2012 val
    mAP@0.25· 2024-02-12
    68.7
    best: 76.8 (BBAM)
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Weakly-supervised instance segmentationonPASCAL VOC 2012 val
    mAP@0.5· 2024-02-12
    55.9
    best: 63.7 (BBAM)
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Weakly-supervised instance segmentationonPASCAL VOC 2012 val
    mAP@0.75· 2024-02-12
    30.9
    best: 31.8 (BBAM)
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.5· uses extra data· 2024-02-12
    55.9
    best: 64.4 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.75· uses extra data· 2024-02-12
    30.9
    best: 45.3 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO 2017 val
    AP· uses extra data· 2024-02-12
    17
    best: 45.1 (SparK (ConvNeXt V1-B Mask R-CNN))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO 2017 val
    AP@50· uses extra data· 2024-02-12
    29.4
    best: 38.4 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO test-dev
    AP· uses extra data· 2024-02-12
    17.2
    best: 25.9 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonCOCO test-dev
    AP@50· uses extra data· 2024-02-12
    29.7
    best: 39.9 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.25· uses extra data· 2024-02-12
    67.8
    best: 73.4 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.5· uses extra data· 2024-02-12
    55.5
    best: 64.4 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633
  • Instance SegmentationonPASCAL VOC 2012 val
    mAP@0.7· uses extra data· 2024-02-12
    36.6
    best: 49.7 (WeakSAM-Mask2Former (with SAM))
    Complete Instances Mining for Weakly Supervised Instance SegmentationarXiv:2402.07633