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Models/VPSNet

VPSNet

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

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

Medical3 results

  • Semantic SegmentationonCityscapes-VPS
    VPQ· uses extra data· 2020-06-19
    57
    best: 63.1 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • Semantic SegmentationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2020-06-19
    66
    best: 73 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • Semantic SegmentationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2020-06-19
    44.7
    best: 49.8 (Video K-Net (Swin-B))
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339

Audio3 results

  • 10-shot image generationonCityscapes-VPS
    VPQ· uses extra data· 2020-06-19
    57
    best: 63.1 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • 10-shot image generationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2020-06-19
    66
    best: 73 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • 10-shot image generationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2020-06-19
    44.7
    best: 49.8 (Video K-Net (Swin-B))
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339

Computer Vision3 results

  • Panoptic SegmentationonCityscapes-VPS
    VPQ· uses extra data· 2020-06-19
    57
    best: 63.1 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • Panoptic SegmentationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2020-06-19
    66
    best: 73 (VIP-Deeplab)
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339
  • Panoptic SegmentationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2020-06-19
    44.7
    best: 49.8 (Video K-Net (Swin-B))
    SOTA
    Video Panoptic SegmentationarXiv:2006.11339