3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
LDTR: Transformer-based Lane Detection with Anchor-chain Representation
Zhongyu Yang, Chen Shen, Wei Shao +5
Despite recent advances in lane detection methods, scenarios with limited- or no-visual-clue of lanes due to factors such as lighting conditions and occlusion remain challenging an…
cs.CV2023
CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
Zhongyu Yang, Chen Shen, Wei Shao +5
Lane detection is challenging due to the complicated on road scenarios and line deformation from different camera perspectives. Lots of solutions were proposed, but can not deal wi…
cs.CV2020★ 3 cited
Angular Triplet Loss-based Camera Network for ReID
Yitian Li, Ruini Xue, Mengmeng Zhu +2
Person re-identification (ReID) is a challenging crosscamera retrieval task to identify pedestrians. Many complex network structures are proposed recently and many of them concentr…