M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection. (arXiv:2311.00986v1 [cs.CV])

In this research, I proposed a network structure for multi-view 3D object
detection using camera-only data and a Bird's-Eye-View map. My work is based on
a current key challenge domain adaptation and visual data transfer. Although
many excellent camera-only 3D object detection has been continuously proposed,
many research work risk dramatic performance drop when the networks are trained
on the source domain but tested on a different target domain. Then I found it
is very surprising that predictions on bounding …

3d object detection arxiv bird challenge current data dataset detection domain domain adaptation map network research training transfer visual visual data work