PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation

arXiv:2403.12530v1 Announce Type: new
Abstract: Generating annotations for bird's-eye-view (BEV) segmentation presents significant challenges due to the scenes' complexity and the high manual annotation cost. In this work, we address these challenges by leveraging the abundance of unlabeled data available. We propose the Perspective Cue Training (PCT) framework, a novel training framework that utilizes pseudo-labels generated from unlabeled perspective images using publicly available semantic segmentation models trained on large street-view datasets. PCT applies a perspective view task head to the …

abstract annotation annotations arxiv bird challenges complexity cost cs.cv data framework novel perspective segmentation training type view work