2 papers
cs.CV2026
A Multi-View Consistency Framework with Semi-Supervised Domain Adaptation
Yuting Hong, Li Dong, Xiaojie Qiu +4
Semi-Supervised Domain Adaptation (SSDA) leverages knowledge from a fully labeled source domain to classify data in a partially labeled target domain. Due to the limited number of…
cs.CV2026
Exploiting Minority Pseudo-Labels for Semi-Supervised Fine-grained Road Scene Understanding
Yuting Hong, Yongkang Wu, Hui Xiao +4
In fine-grained road scene understanding, semantic segmentation plays a crucial role in enabling vehicles to perceive and comprehend their surroundings. By assigning a specific cla…