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Models/S2D

S2D

Reported on 18 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Computer Vision9 results

  • Face ReconstructiononRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Facial Expression Recognition (FER)onRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3D Face ReconstructiononRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447

Music3 results

  • Facial Recognition and ModellingonRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447

Methodology3 results

  • 3DonRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3DonAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3DonAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447

Medical3 results

  • 3D Face ModellingonRAF-DB
    Overall Accuracy· 2023-12-09
    92.57
    best: 94.76 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· 2023-12-09
    67.62
    best: 72.93 (ResEmoteNet)
    SOTA
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447
  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)· 2023-12-09
    63.06
    best: 68.69 (Norface)
    From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in VideosarXiv:2312.05447