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Models/DHPF

DHPF

Reported on 18 benchmarks across 2 tasks · 1 paper · 14 SOTA

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

Computer Vision18 results

  • Image MatchingonSPair-71k
    PCK· 2020-07-21
    37.3
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonPF-PASCAL
    PCK· 2020-07-21
    90.7
    best: 95.8 (DINOv2)
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonPF-PASCAL
    PCK (weak)· 2020-07-21
    82.1
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonPF-WILLOW
    PCK· 2020-07-21
    77.6
    best: 84.3 (LDMCorrespondences)
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonPF-WILLOW
    PCK (weak)· 2020-07-21
    80.2
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonCaltech-101
    IoU (weak)· 2020-07-21
    61
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonCaltech-101
    LT-ACC (weak)· 2020-07-21
    86
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonSPair-71k
    PCK· 2020-07-21
    37.3
    best: 85.6 (GeoAware-SC (Supervised, AP-10K P.T.))
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonPF-PASCAL
    PCK· 2020-07-21
    90.7
    best: 95.8 (DINOv2)
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonPF-PASCAL
    PCK (weak)· 2020-07-21
    82.1
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonPF-WILLOW
    PCK· 2020-07-21
    77.6
    best: 84.3 (LDMCorrespondences)
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonPF-WILLOW
    PCK (weak)· 2020-07-21
    80.2
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonCaltech-101
    IoU (weak)· 2020-07-21
    61
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonCaltech-101
    LT-ACC (weak)· 2020-07-21
    86
    SOTA
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonCaltech-101
    IoU· 2020-07-21
    62
    best: 63 (HPF)
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Image MatchingonCaltech-101
    LT-ACC· 2020-07-21
    87
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonCaltech-101
    IoU· 2020-07-21
    62
    best: 63 (HPF)
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587
  • Semantic correspondenceonCaltech-101
    LT-ACC· 2020-07-21
    87
    Learning to Compose Hypercolumns for Visual CorrespondencearXiv:2007.10587