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Models/ODISE

ODISE

Reported on 6 benchmarks across 2 tasks · 1 paper · 3 SOTA

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

Computer Vision6 results

  • Instance SegmentationonUVO
    ARmask· uses extra data· 2023-03-08
    57.7
    best: 72.6 (GLEE-Pro)
    SOTA
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803
  • Open Vocabulary Semantic SegmentationonPASCAL Context-459
    mIoU· 2023-03-08
    14.5
    best: 25.8 (SILC)
    SOTA
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803
  • Open Vocabulary Semantic SegmentationonPASCAL Context-59
    mIoU· 2023-03-08
    57.3
    best: 64.6 (HyperSeg)
    SOTA
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803
  • Open Vocabulary Semantic SegmentationonADE20K-847
    mIoU· 2023-03-08
    11.1
    best: 17.3 (UMG-CLIP-E/14)
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803
  • Open Vocabulary Semantic SegmentationonPascalVOC-20
    mIoU· 2023-03-08
    84.6
    best: 97.9 (UMG-CLIP-L/14)
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803
  • Open Vocabulary Semantic SegmentationonADE20K-150
    mIoU· 2023-03-08
    29.9
    best: 38.2 (Mask-Adapter)
    Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsarXiv:2303.04803