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Models/Semantic2Graph

Semantic2Graph

Reported on 20 benchmarks across 2 tasks · 1 paper · 18 SOTA

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

Computer Vision20 results

  • Action Localizationon50 Salads
    Acc· uses extra data· 2022-09-13
    88.6
    best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Localizationon50 Salads
    Edit· uses extra data· 2022-09-13
    89.1
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Localizationon50 Salads
    F1@10%· uses extra data· 2022-09-13
    91.5
    best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Localizationon50 Salads
    F1@25%· uses extra data· 2022-09-13
    90.2
    best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Localizationon50 Salads
    F1@50%· uses extra data· 2022-09-13
    87.3
    best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action LocalizationonGTEA
    Acc· uses extra data· 2022-09-13
    89.8
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action LocalizationonGTEA
    F1@10%· uses extra data· 2022-09-13
    95.7
    best: 96.1 (FACT)
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action LocalizationonGTEA
    F1@25%· uses extra data· 2022-09-13
    94.2
    best: 95.6 (FACT)
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action LocalizationonGTEA
    F1@50%· uses extra data· 2022-09-13
    91.3
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Segmentationon50 Salads
    Acc· uses extra data· 2022-09-13
    88.6
    best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Segmentationon50 Salads
    Edit· uses extra data· 2022-09-13
    89.1
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Segmentationon50 Salads
    F1@10%· uses extra data· 2022-09-13
    91.5
    best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Segmentationon50 Salads
    F1@25%· uses extra data· 2022-09-13
    90.2
    best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action Segmentationon50 Salads
    F1@50%· uses extra data· 2022-09-13
    87.3
    best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action SegmentationonGTEA
    Acc· uses extra data· 2022-09-13
    89.8
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action SegmentationonGTEA
    F1@10%· uses extra data· 2022-09-13
    95.7
    best: 96.1 (FACT)
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action SegmentationonGTEA
    F1@25%· uses extra data· 2022-09-13
    94.2
    best: 95.6 (FACT)
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action SegmentationonGTEA
    F1@50%· uses extra data· 2022-09-13
    91.3
    SOTA
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action LocalizationonGTEA
    Edit· uses extra data· 2022-09-13
    92
    best: 93.5 (FACT)
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653
  • Action SegmentationonGTEA
    Edit· uses extra data· 2022-09-13
    92
    best: 93.5 (FACT)
    Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in VideosarXiv:2209.05653