Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

insights

  • 3DIou loss
  • Homoscedastic noise
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
  • Heteroscedastic noise
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
  • 3D框的representation
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

重要结论

Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

  • distance 越远其variance越大很容易想
  • 而对于图像中的车框,越远车框变化越小,而越近变化越大,所以variance近大远小
    Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

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