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/SegGPT (ViT)

SegGPT (ViT)

Reported on 18 benchmarks across 3 tasks · 1 paper · 12 SOTA

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

Methodology12 results

  • Few-Shot LearningonCOCO-20i (5-shot)
    Mean IoU· 2023-04-06
    67.9
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot LearningonPASCAL-5i (1-Shot)
    Mean IoU· uses extra data· 2023-04-06
    83.2
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot LearningonCOCO-20i (1-shot)
    Mean IoU· uses extra data· 2023-04-06
    56.1
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot LearningonPASCAL-5i (5-Shot)
    Mean IoU· uses extra data· 2023-04-06
    89.8
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonCOCO-20i (5-shot)
    Mean IoU· 2023-04-06
    67.9
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonPASCAL-5i (1-Shot)
    Mean IoU· uses extra data· 2023-04-06
    83.2
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonCOCO-20i (1-shot)
    Mean IoU· uses extra data· 2023-04-06
    56.1
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonPASCAL-5i (5-Shot)
    Mean IoU· uses extra data· 2023-04-06
    89.8
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot LearningonFSS-1000 (5-shot)
    Mean IoU· 2023-04-06
    89.3
    best: 91.7 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot LearningonFSS-1000 (1-shot)
    Mean IoU· 2023-04-06
    85.6
    best: 90.8 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonFSS-1000 (5-shot)
    Mean IoU· 2023-04-06
    89.3
    best: 91.7 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Meta-LearningonFSS-1000 (1-shot)
    Mean IoU· 2023-04-06
    85.6
    best: 90.8 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284

Computer Vision6 results

  • Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
    Mean IoU· 2023-04-06
    67.9
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
    Mean IoU· uses extra data· 2023-04-06
    83.2
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
    Mean IoU· uses extra data· 2023-04-06
    56.1
    best: 59.4 (PGMA-Net (ResNet-101))
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
    Mean IoU· uses extra data· 2023-04-06
    89.8
    SOTA
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot Semantic SegmentationonFSS-1000 (5-shot)
    Mean IoU· 2023-04-06
    89.3
    best: 91.7 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284
  • Few-Shot Semantic SegmentationonFSS-1000 (1-shot)
    Mean IoU· 2023-04-06
    85.6
    best: 90.8 (DACM (ResNet-101))
    SegGPT: Segmenting Everything In ContextarXiv:2304.03284