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Models/HPF

HPF

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision10 results

  • Image MatchingonSPair-71k
    PCK· 2019-08-18
    28.2
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Image MatchingonPF-PASCAL
    PCK· 2019-08-18
    88.3
    best: 95.8 (DINOv2)
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Image MatchingonPF-WILLOW
    PCK· 2019-08-18
    76.3
    best: 84.3 (LDMCorrespondences)
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Image MatchingonCaltech-101
    IoU· 2019-08-18
    63
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Image MatchingonCaltech-101
    LT-ACC· 2019-08-18
    87
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Semantic correspondenceonSPair-71k
    PCK· 2019-08-18
    28.2
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Semantic correspondenceonPF-PASCAL
    PCK· 2019-08-18
    88.3
    best: 95.8 (DINOv2)
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Semantic correspondenceonPF-WILLOW
    PCK· 2019-08-18
    76.3
    best: 84.3 (LDMCorrespondences)
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Semantic correspondenceonCaltech-101
    IoU· 2019-08-18
    63
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537
  • Semantic correspondenceonCaltech-101
    LT-ACC· 2019-08-18
    87
    SOTA
    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesarXiv:1908.06537