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Models/UPSNet (ResNet-50)

UPSNet (ResNet-50)

Reported on 15 benchmarks across 3 tasks · 1 paper

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

Medical5 results

  • Semantic SegmentationonCityscapes val
    AP· 2019-01-12
    33.3
    best: 50.6 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Semantic SegmentationonCityscapes val
    PQ· 2019-01-12
    59.3
    best: 70.8 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Semantic SegmentationonCityscapes val
    PQst· 2019-01-12
    62.7
    best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Semantic SegmentationonCityscapes val
    PQth· 2019-01-12
    54.6
    best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Semantic SegmentationonCityscapes val
    mIoU· 2019-01-12
    75.2
    best: 90.3 (EfficientPS (Cityscapes-fine))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784

Audio5 results

  • 10-shot image generationonCityscapes val
    AP· 2019-01-12
    33.3
    best: 50.6 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • 10-shot image generationonCityscapes val
    PQ· 2019-01-12
    59.3
    best: 70.8 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • 10-shot image generationonCityscapes val
    PQst· 2019-01-12
    62.7
    best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • 10-shot image generationonCityscapes val
    PQth· 2019-01-12
    54.6
    best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • 10-shot image generationonCityscapes val
    mIoU· 2019-01-12
    75.2
    best: 90.3 (EfficientPS (Cityscapes-fine))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784

Computer Vision5 results

  • Panoptic SegmentationonCityscapes val
    AP· 2019-01-12
    33.3
    best: 50.6 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Panoptic SegmentationonCityscapes val
    PQ· 2019-01-12
    59.3
    best: 70.8 (ViT-P (OneFormer, InternImage-H))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Panoptic SegmentationonCityscapes val
    PQst· 2019-01-12
    62.7
    best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Panoptic SegmentationonCityscapes val
    PQth· 2019-01-12
    54.6
    best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784
  • Panoptic SegmentationonCityscapes val
    mIoU· 2019-01-12
    75.2
    best: 90.3 (EfficientPS (Cityscapes-fine))
    UPSNet: A Unified Panoptic Segmentation NetworkarXiv:1901.03784