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Models/PanoFormer

PanoFormer

Reported on 6 benchmarks across 4 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 Vision2 results

  • Depth EstimationonStanford2D3D Panoramic
    absolute relative error· 2022-03-17
    0.0405
    SOTA
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283
  • Depth EstimationonStanford2D3D Panoramic
    RMSE· 2022-03-17
    0.3083
    best: 0.2619 (HiMODE)
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283

Methodology2 results

  • 3DonStanford2D3D Panoramic
    absolute relative error· 2022-03-17
    0.0405
    SOTA
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283
  • 3DonStanford2D3D Panoramic
    RMSE· 2022-03-17
    0.3083
    best: 0.2619 (HiMODE)
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283

Medical1 result

  • Semantic SegmentationonStanford2D3D Panoramic
    mAcc· 2022-03-17
    64.5
    best: 70.68 (SFSS-MMSI (RGB+HHA))
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283

Audio1 result

  • 10-shot image generationonStanford2D3D Panoramic
    mAcc· 2022-03-17
    64.5
    best: 70.68 (SFSS-MMSI (RGB+HHA))
    PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationarXiv:2203.09283