13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties
Wenqiao Li, Bozhong Zheng, Xiaohao Xu +8
Object anomaly detection is essential for industrial quality inspection, yet traditional single-sensor methods face critical limitations. They fail to capture the wide range of ano…
cs.CV2024
-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations
Xiang Li, Kai Qiu, Jinglu Wang +6
Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the…
cs.CV2023★ 13 cited
Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead
Yunkang Cao, Xiaohao Xu, Chen Sun +2
Anomaly detection is a crucial task across different domains and data types. However, existing anomaly detection models are often designed for specific domains and modalities. This…