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Models/DetectoRS + NWD (ResNet-50-FPN)

DetectoRS + NWD (ResNet-50-FPN)

Reported on 35 benchmarks across 5 tasks · 1 paper · 35 SOTA

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

Methodology28 results

  • 3DonAI-TOD
    AP· 2021-10-26
    20.8
    best: 26.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    AP50· 2021-10-26
    49.3
    best: 56.7 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    AP75· 2021-10-26
    14.3
    best: 20.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    APm· 2021-10-26
    38.3
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    APs· 2021-10-26
    29.6
    best: 31 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    APt· 2021-10-26
    19.7
    best: 26.4 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 3DonAI-TOD
    APvt· 2021-10-26
    6.4
    best: 12.8 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    AP· 2021-10-26
    20.8
    best: 26.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    AP50· 2021-10-26
    49.3
    best: 56.7 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    AP75· 2021-10-26
    14.3
    best: 20.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    APm· 2021-10-26
    38.3
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    APs· 2021-10-26
    29.6
    best: 31 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    APt· 2021-10-26
    19.7
    best: 26.4 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D ClassificationonAI-TOD
    APvt· 2021-10-26
    6.4
    best: 12.8 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    AP· 2021-10-26
    20.8
    best: 26.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    AP50· 2021-10-26
    49.3
    best: 56.7 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    AP75· 2021-10-26
    14.3
    best: 20.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    APm· 2021-10-26
    38.3
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    APs· 2021-10-26
    29.6
    best: 31 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    APt· 2021-10-26
    19.7
    best: 26.4 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 2D Object DetectiononAI-TOD
    APvt· 2021-10-26
    6.4
    best: 12.8 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    AP· 2021-10-26
    20.8
    best: 26.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    AP50· 2021-10-26
    49.3
    best: 56.7 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    AP75· 2021-10-26
    14.3
    best: 20.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    APm· 2021-10-26
    38.3
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    APs· 2021-10-26
    29.6
    best: 31 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    APt· 2021-10-26
    19.7
    best: 26.4 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • 16konAI-TOD
    APvt· 2021-10-26
    6.4
    best: 12.8 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389

Computer Vision7 results

  • Object DetectiononAI-TOD
    AP· 2021-10-26
    20.8
    best: 26.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    AP50· 2021-10-26
    49.3
    best: 56.7 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    AP75· 2021-10-26
    14.3
    best: 20.2 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    APm· 2021-10-26
    38.3
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    APs· 2021-10-26
    29.6
    best: 31 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    APt· 2021-10-26
    19.7
    best: 26.4 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389
  • Object DetectiononAI-TOD
    APvt· 2021-10-26
    6.4
    best: 12.8 (DNTR)
    SOTA
    A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionarXiv:2110.13389