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Models/P2T-Tiny

P2T-Tiny

Reported on 12 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology8 results

  • 3DonDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 2D ClassificationonDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 2D Object DetectiononDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 16konDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 3DonDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 2D ClassificationonDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 2D Object DetectiononDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • 16konDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011

Computer Vision4 results

  • Object DetectiononDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • RGB Salient Object DetectiononDUTS-TE
    MAE· 2021-06-22
    0.033
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
    SOTA
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • Object DetectiononDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011
  • RGB Salient Object DetectiononDUTS-TE
    max F-measure· 2021-06-22
    0.895
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
    P2T: Pyramid Pooling Transformer for Scene UnderstandingarXiv:2106.12011