3 accepted papers
The anchor-based multi-view clustering method has received extensive attention due to its efficiency and scalability in large-scale data scenarios. Existing methods still face significant challenges in optimizing the quality of anchors. Current mainstream approaches typically rely on random sampling…
Learning-based online adaptive driving policies hold considerable promise for enabling human-preferred autonomous driving or advanced driver assistance systems. However, existing personalization approaches often rely on limited style definitions or behavior cloning, requiring extensive data and plac
Camouflaged Object Detection (COD) aims to segment objects that blend in with their surroundings. Most existing methods mainly tackle this issue by a single-stage framework, which tends to degrade performance in the face of small objects, low-contrast objects and objects with diverse appearances. In…