51 citations · 67 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2023★ 3 cited
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Yunkang Cao, Xiaohao Xu, Chen Sun +3
This technical report introduces the winning solution of the team Segment Any Anomaly for the CVPR2023 Visual Anomaly and Novelty Detection (VAND) challenge. Going beyond uni-modal…
cs.CV2023★ 51 cited
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao, Xiaohao Xu, Chen Sun +4
We present a novel framework, i.e., Segment Any Anomaly + (SAA+), for zero-shot anomaly segmentation with hybrid prompt regularization to improve the adaptability of modern foundat…