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Models/MMNet

MMNet

Reported on 9 benchmarks across 6 tasks · 1 paper · 2 SOTA

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

Computer Vision5 results

  • Image MatchingonSPair-71k
    PCK· 2021-07-31
    50.4
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Multi-scale Matching Networks for Semantic CorrespondencearXiv:2108.00211
  • Semantic correspondenceonSPair-71k
    PCK· 2021-07-31
    50.4
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Multi-scale Matching Networks for Semantic CorrespondencearXiv:2108.00211
  • VideoonToyota Smarthome dataset
    CS· uses extra data
    70.1
    best: 72.9 (π-ViT)
  • Action Recognition In VideosonPKU-MMD
    X-Sub· uses extra data
    97.4
  • Action Recognition In VideosonPKU-MMD
    X-View· uses extra data
    98.6
    best: 98.8 (DSCNet (RGB + Pose))

Robots2 results

  • Activity RecognitiononPKU-MMD
    X-Sub· uses extra data
    97.4
  • Activity RecognitiononPKU-MMD
    X-View· uses extra data
    98.6
    best: 98.8 (DSCNet (RGB + Pose))

Time Series2 results

  • Action RecognitiononPKU-MMD
    X-Sub· uses extra data
    97.4
  • Action RecognitiononPKU-MMD
    X-View· uses extra data
    98.6
    best: 98.8 (DSCNet (RGB + Pose))