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MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm. (arXiv:2201.04341v1 [cs.CV])
Jan. 13, 2022, 2:10 a.m. | Zhouzhen Xie, Yuying Song, Jingxuan Wu, Zecheng Li, Chunyi Song, Zhiwei Xu
cs.CV updates on arXiv.org arxiv.org
Monocular 3D object detection is very challenging in autonomous driving due
to the lack of depth information. This paper proposes a one-stage monocular 3D
object detection algorithm based on multi-scale depth stratification, which
uses the anchor-free method to detect 3D objects in a per-pixel prediction. In
the proposed MDS-Net, a novel depth-based stratification structure is developed
to improve the network's ability of depth prediction by establishing
mathematical models between depth and image size of objects. A new angle loss
function …
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