Improving Monocular 3D Detection of Large Objects with Segmentation in Bird's View and Dice Loss
Monocular 3D detectors struggle to generalize to large objects due to the noise sensitivity of depth regression losses. SeaBird, a novel pipeline, effectively integrates BEV segmentation supervised by the noise-robust dice loss to improve monocular 3D detection of large objects.