Semantic segmentation in bird's eye view (BEV) plays a crucial role in autonomous driving. Previous methods usually follow an end-to-end pipeline, directly predicting the BEV segmentation map from ...

Self-supervised semantic segmentation is a crucial approach for addressing the issue of insufficient labeled data. However, traditional self-supervised learning methods designed for natural images are ...

UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior [NeurIPS 2024] 🔥 This is the official PyTorch implementation of our work. 🔥 ...

Abstract Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large ...