5 citations · 5 across the 7 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li, Jingqi Wu, Lin Yuanbo Wu +3
In the realm of practical Anomaly Detection (AD) tasks, manual labeling of anomalous pixels proves to be a costly endeavor. Consequently, many AD methods are crafted as one-class c…
cs.CV2024★ 5 cited
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation
Hanxi Li, Zhengxun Zhang, Hao Chen +4
Effectively addressing the challenge of industrial Anomaly Detection (AD) necessitates an ample supply of defective samples, a constraint often hindered by their scarcity in indust…
cs.CV2024
DART: Depth-Enhanced Accurate and Real-Time Background Matting
Hanxi Li, Guofeng Li, Bo Li +2
Matting with a static background, often referred to as ``Background Matting" (BGM), has garnered significant attention within the computer vision community due to its pivotal role…