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/HyperSeg

HyperSeg

Reported on 24 benchmarks across 7 tasks · 1 paper · 11 SOTA

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

Computer Vision22 results

  • Instance SegmentationonRefCOCO testA
    Overall IoU· uses extra data· 2024-11-26
    85.7
    best: 86.49 (DeRIS-L)
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCoCo val
    Overall IoU· uses extra data· 2024-11-26
    84.8
    best: 85.41 (DeRIS-L)
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCO testB
    Overall IoU· uses extra data· 2024-11-26
    83.4
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCO+ testA
    Overall IoU· uses extra data· 2024-11-26
    83.5
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCO testA
    Overall IoU· uses extra data· 2024-11-26
    85.7
    best: 86.49 (DeRIS-L)
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCoCo val
    Overall IoU· uses extra data· 2024-11-26
    84.8
    best: 85.41 (DeRIS-L)
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCO testB
    Overall IoU· uses extra data· 2024-11-26
    83.4
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCO+ testA
    Overall IoU· uses extra data· 2024-11-26
    83.5
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Open Vocabulary Semantic SegmentationonPASCAL Context-59
    mIoU· uses extra data· 2024-11-26
    64.6
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • VideoonRefer-YouTube-VOS
    J&F· uses extra data· 2024-11-26
    68.5
    best: 73.7 (FindTrack)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCOg-test
    Overall IoU· uses extra data· 2024-11-26
    78.9
    best: 80.54 (UniLSeg-100)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCO+ val
    Overall IoU· uses extra data· 2024-11-26
    79
    best: 79.4 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCO+ test B
    Overall IoU· uses extra data· 2024-11-26
    75.2
    best: 75.6 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonDAVIS 2017 (val)
    J&F 1st frame· uses extra data· 2024-11-26
    71.2
    best: 72.5 (UNINEXT-H)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Instance SegmentationonRefCOCOg-val
    Overall IoU· uses extra data· 2024-11-26
    79.4
    best: 79.9 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Video Object SegmentationonRefer-YouTube-VOS
    J&F· uses extra data· 2024-11-26
    68.5
    best: 73.7 (FindTrack)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCOg-test
    Overall IoU· uses extra data· 2024-11-26
    78.9
    best: 80.54 (UniLSeg-100)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCO+ val
    Overall IoU· uses extra data· 2024-11-26
    79
    best: 79.4 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCO+ test B
    Overall IoU· uses extra data· 2024-11-26
    75.2
    best: 75.6 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonDAVIS 2017 (val)
    J&F 1st frame· uses extra data· 2024-11-26
    71.2
    best: 72.5 (UNINEXT-H)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Referring Expression SegmentationonRefCOCOg-val
    Overall IoU· uses extra data· 2024-11-26
    79.4
    best: 79.9 (MLCD-Seg-7B)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606
  • Open Vocabulary Semantic SegmentationonPascalVOC-20
    mIoU· uses extra data· 2024-11-26
    92.1
    best: 97.9 (UMG-CLIP-L/14)
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606

Medical1 result

  • Semantic SegmentationonCOCO (Common Objects in Context)
    mIoU· uses extra data· 2024-11-26
    77.2
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606

Audio1 result

  • 10-shot image generationonCOCO (Common Objects in Context)
    mIoU· uses extra data· 2024-11-26
    77.2
    SOTA
    HyperSeg: Towards Universal Visual Segmentation with Large Language ModelarXiv:2411.17606