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Models/VCTree

VCTree

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.

Computer Vision6 results

  • Scene ParsingonVisual Genome
    Recall@50· 2018-12-05
    27.9
    best: 32.9 (SpeaQ (without reweighting))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • Scene ParsingonPSG Dataset
    R@20· 2018-12-05
    20.6
    best: 40.6 (HiLo(SwinL))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • Scene ParsingonPSG Dataset
    mR@20· 2018-12-05
    9.7
    best: 34.7 (VLPrompt (R50))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • Scene Graph GenerationonVisual Genome
    Recall@50· 2018-12-05
    27.9
    best: 32.9 (SpeaQ (without reweighting))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • Scene Graph GenerationonPSG Dataset
    R@20· 2018-12-05
    20.6
    best: 40.6 (HiLo(SwinL))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • Scene Graph GenerationonPSG Dataset
    mR@20· 2018-12-05
    9.7
    best: 34.7 (VLPrompt (R50))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880

Audio3 results

  • 2D Semantic SegmentationonVisual Genome
    Recall@50· 2018-12-05
    27.9
    best: 32.9 (SpeaQ (without reweighting))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • 2D Semantic SegmentationonPSG Dataset
    R@20· 2018-12-05
    20.6
    best: 40.6 (HiLo(SwinL))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880
  • 2D Semantic SegmentationonPSG Dataset
    mR@20· 2018-12-05
    9.7
    best: 34.7 (VLPrompt (R50))
    SOTA
    Learning to Compose Dynamic Tree Structures for Visual ContextsarXiv:1812.01880