4 papers · 1 filter
Informative Text-Image Alignment for Visual Affordance Learning with Foundation Models
Qian Zhang, Lin Zhang, Xing Fang +4
Visual affordance learning is crucial for robots to understand and interact effectively with the physical world. Recent advances in this field attempt to leverage pre-trained knowl…
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
Runmin Cong, Hongyu Liu, Chen Zhang +4
By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved. In recent y…
Provably Uncertainty-Guided Universal Domain Adaptation
Yifan Wang, Lin Zhang, Ran Song +3
Universal domain adaptation (UniDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain without any assumptions of the label sets, which requi…
Coarse-to-Fine Detection of Multiple Seams for Robotic Welding
Pengkun Wei, Shuo Cheng, Dayou Li +3
Efficiently detecting target weld seams while ensuring sub-millimeter accuracy has always been an important challenge in autonomous welding, which has significant application in in…