2 papers
cs.CV2026
HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection
Han Zhou, Yuxuan Gao, Yinchao Du +1
Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper,…
cs.CV2025
ArgusCogito: Chain-of-Thought for Cross-Modal Synergy and Omnidirectional Reasoning in Camouflaged Object Segmentation
Jianwen Tan, Huiyao Zhang, Rui Xiong +3
Camouflaged Object Segmentation (COS) poses a significant challenge due to the intrinsic high similarity between targets and backgrounds, demanding models capable of profound holis…