Semi-Supervised Learning for Visual Bird’s Eye View Semantic Segmentation
Junyu Zhu,Lina Liu,Yu Tang,Feng Wen,Wanlong Li,Yong Liu,Junyu Zhu,Lina Liu,Yu Tang,Feng Wen,Wanlong Li,Yong Liu
Visual bird’s eye view (BEV) semantic segmentation helps autonomous vehicles understand the surrounding environment only from front-view (FV) images, including static elements (e.g., roads) and dynamic elements (e.g., vehicles, pedestrians). However, the high cost of annotation procedures of full-supervised methods limits the capability of the visual BEV semantic segmentation, which usually needs ...