1 citations · 2 across the 4 of their papers we have counts for
6 papers
OmniVLoc: Topo-metric Visual Localization for Omnidirectional Cameras
Zhuo Yu, Shuyang Zhang, Huihua Zhu +6
Omnidirectional cameras provide surround-view information, significantly overcoming the field-of-view constraints for traditional visual localization systems. However, existing loc…
Training-Free Anomaly Generation via Dual-Attention Enhancement in Diffusion Model
Zuo Zuo, Jiahao Dong, Yanyun Qu +1
Industrial anomaly detection (AD) plays a significant role in manufacturing where a long-standing challenge is data scarcity. A growing body of works have emerged to address insuff…
Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
You Zhou, Jiangshan Zhao, Deyu Zeng +3
Unsupervised Continuous Anomaly Detection (UCAD) faces significant challenges in multi-task representation learning, with existing methods suffering from incomplete representation…
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection
Zuo Zuo, Jiahao Dong, Yue Gao +1
In the manufacturing industry, defect detection is an essential but challenging task aiming to detect defects generated in the process of production. Though traditional YOLO models…
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP
Zuo Zuo, Jiahao Dong, Yao Wu +2
Industrial anomaly classification (AC) is an indispensable task in industrial manufacturing, which guarantees quality and safety of various product. To address the scarcity of data…
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
Zuo Zuo, Jiahao Dong, Yao Wu +2
Few-shot anomaly detection methods can effectively address data collecting difficulty in industrial scenarios. Compared to 2D few-shot anomaly detection (2D-FSAD), 3D few-shot anom…