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Models/MA-Net

MA-Net

Reported on 22 benchmarks across 8 tasks · 1 paper · 4 SOTA

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

Computer Vision13 results

  • VideoonDAVIS 2017
    AUC-J· 2020-03-30
    0.749
    best: 0.849 (MiVOS)
    SOTA
    Memory Aggregation Networks for Efficient Interactive Video Object SegmentationarXiv:2003.13246
  • VideoonDAVIS 2017
    J@60s· 2020-03-30
    0.761
    best: 0.854 (MiVOS)
    SOTA
    Memory Aggregation Networks for Efficient Interactive Video Object SegmentationarXiv:2003.13246
  • Video Object SegmentationonDAVIS 2017
    AUC-J· 2020-03-30
    0.749
    best: 0.849 (MiVOS)
    SOTA
    Memory Aggregation Networks for Efficient Interactive Video Object SegmentationarXiv:2003.13246
  • Video Object SegmentationonDAVIS 2017
    J@60s· 2020-03-30
    0.761
    best: 0.854 (MiVOS)
    SOTA
    Memory Aggregation Networks for Efficient Interactive Video Object SegmentationarXiv:2003.13246
  • Face ReconstructiononRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)
  • Facial Expression Recognition (FER)onRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)
  • 3D Face ReconstructiononRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)

Music3 results

  • Facial Recognition and ModellingonRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)

Methodology3 results

  • 3DonRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • 3DonAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • 3DonAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)

Medical3 results

  • 3D Face ModellingonRAF-DB
    Overall Accuracy
    88.36
    best: 94.76 (ResEmoteNet)
  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)
    64.53
    best: 72.93 (ResEmoteNet)
  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)
    60.29
    best: 68.69 (Norface)