3 papers
cs.CV2025
AlignCAT: Visual-Linguistic Alignment of Category and Attribute for Weakly Supervised Visual Grounding
Yidan Wang, Chenyi Zhuang, Wutao Liu +2
Weakly supervised visual grounding (VG) aims to locate objects in images based on text descriptions. Despite significant progress, existing methods lack strong cross-modal reasonin…
cs.CV2025
First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detection
Wutao Liu, YiDan Wang, Pan Gao
Camouflaged object detection (COD) poses a significant challenge in computer vision due to the high similarity between objects and their backgrounds. Existing approaches often rely…
cs.CV2024
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Yao Yuan, Wutao Liu, Pan Gao +2
Recently, unsupervised salient object detection (USOD) has gained increasing attention due to its annotation-free nature. However, current methods mainly focus on specific tasks su…