TransRSS: Transformer-based Radar Semantic Segmentation
Hao Zou,Zhen Xie,Jiarong Ou,Yutao Gao,Hao Zou,Zhen Xie,Jiarong Ou,Yutao Gao
Radar semantic segmentation is a challenging task in environmental understanding, due as the radar data is noisy and suffers measurement ambiguities, which could lead to poor feature learning. To better tackle such difficulties, we present a novel and high-performance Transformer-based Radar Semantic Segmentation method, named TransRSS, to effectively and efficiently feature extraction for radar s...
