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Models/Panoptic-DeepLab (SWideRNet-[1, 1, 4], multi-scale)

Panoptic-DeepLab (SWideRNet-[1, 1, 4], multi-scale)

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Medical3 results

  • Semantic SegmentationonCOCO test-dev
    PQst· 2020-11-23
    38.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    SOTA
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • Semantic SegmentationonCOCO test-dev
    PQ· 2020-11-23
    46.5
    best: 59.5 (Mask DINO (single scale))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • Semantic SegmentationonCOCO test-dev
    PQth· 2020-11-23
    52
    best: 65.1 (Mask2Former (Swin-L))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675

Audio3 results

  • 10-shot image generationonCOCO test-dev
    PQst· 2020-11-23
    38.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    SOTA
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • 10-shot image generationonCOCO test-dev
    PQ· 2020-11-23
    46.5
    best: 59.5 (Mask DINO (single scale))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • 10-shot image generationonCOCO test-dev
    PQth· 2020-11-23
    52
    best: 65.1 (Mask2Former (Swin-L))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675

Computer Vision3 results

  • Panoptic SegmentationonCOCO test-dev
    PQst· 2020-11-23
    38.2
    best: 58.9 (MaskConver (ResNet50, single-scale))
    SOTA
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • Panoptic SegmentationonCOCO test-dev
    PQ· 2020-11-23
    46.5
    best: 59.5 (Mask DINO (single scale))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675
  • Panoptic SegmentationonCOCO test-dev
    PQth· 2020-11-23
    52
    best: 65.1 (Mask2Former (Swin-L))
    Scaling Wide Residual Networks for Panoptic SegmentationarXiv:2011.11675