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/CUPS (54 pseudo-classes)

CUPS (54 pseudo-classes)

Reported on 10 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision10 results

  • Unsupervised Panoptic SegmentationonWaymo Open Dataset
    PQ· 2025-04-02
    27.3
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • Unsupervised Panoptic SegmentationonCityscapes
    PQ· 2025-04-02
    30.6
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • Unsupervised Panoptic SegmentationonKITTI
    PQ· 2025-04-02
    28.5
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • 2D Panoptic SegmentationonWaymo Open Dataset
    PQ· 2025-04-02
    27.3
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • 2D Panoptic SegmentationonCityscapes
    PQ· 2025-04-02
    30.6
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • 2D Panoptic SegmentationonKITTI
    PQ· 2025-04-02
    28.5
    SOTA
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • Unsupervised Panoptic SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
    PQ· 2025-04-02
    22.8
    best: 28.2 (CUPS (40 pseudo-classes))
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • Unsupervised Panoptic SegmentationonBDD100K val
    PQ· 2025-04-02
    21.8
    best: 21.9 (CUPS (40 pseudo-classes))
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • 2D Panoptic SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
    PQ· 2025-04-02
    22.8
    best: 28.2 (CUPS (40 pseudo-classes))
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955
  • 2D Panoptic SegmentationonBDD100K val
    PQ· 2025-04-02
    21.8
    best: 21.9 (CUPS (40 pseudo-classes))
    Scene-Centric Unsupervised Panoptic SegmentationarXiv:2504.01955