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Models/Video K-Net (Swin-B)

Video K-Net (Swin-B)

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 SegmentationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2022-04-10
    49.8
    SOTA
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • Semantic SegmentationonCityscapes-VPS
    VPQ· uses extra data· 2022-04-10
    62.2
    best: 63.1 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • Semantic SegmentationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2022-04-10
    71.8
    best: 73 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656

Audio3 results

  • 10-shot image generationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2022-04-10
    49.8
    SOTA
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • 10-shot image generationonCityscapes-VPS
    VPQ· uses extra data· 2022-04-10
    62.2
    best: 63.1 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • 10-shot image generationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2022-04-10
    71.8
    best: 73 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656

Computer Vision3 results

  • Panoptic SegmentationonCityscapes-VPS
    VPQ (thing)· uses extra data· 2022-04-10
    49.8
    SOTA
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • Panoptic SegmentationonCityscapes-VPS
    VPQ· uses extra data· 2022-04-10
    62.2
    best: 63.1 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656
  • Panoptic SegmentationonCityscapes-VPS
    VPQ (stuff)· uses extra data· 2022-04-10
    71.8
    best: 73 (VIP-Deeplab)
    Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationarXiv:2204.04656