Zobrazeno 1 - 10
of 1 039
pro vyhledávání: '"Shen, Weiming"'
Autor:
Cao, Yunkang, Zhang, Jiangning, Frittoli, Luca, Cheng, Yuqi, Shen, Weiming, Boracchi, Giacomo
Zero-shot anomaly detection (ZSAD) targets the identification of anomalies within images from arbitrary novel categories. This study introduces AdaCLIP for the ZSAD task, leveraging a pre-trained vision-language model (VLM), CLIP. AdaCLIP incorporate
Externí odkaz:
http://arxiv.org/abs/2407.15795
Image anomaly detection plays a pivotal role in industrial inspection. Traditional approaches often demand distinct models for specific categories, resulting in substantial deployment costs. This raises concerns about multi-class anomaly detection, w
Externí odkaz:
http://arxiv.org/abs/2406.11507
Texture surface anomaly detection finds widespread applications in industrial settings. However, existing methods often necessitate gathering numerous samples for model training. Moreover, they predominantly operate within a close-set detection frame
Externí odkaz:
http://arxiv.org/abs/2406.07333
Robustness against noisy imaging is crucial for practical image anomaly detection systems. This study introduces a Robust Anomaly Detection (RAD) dataset with free views, uneven illuminations, and blurry collections to systematically evaluate the rob
Externí odkaz:
http://arxiv.org/abs/2406.07176
Autor:
Huang, Genggeng, Shen, Weiming
The Guillemin boundary condition appears naturally in the study of K\"ahler geometry of toric manifolds. In the present paper, the following Guillemin boundary value problem is investigated \begin{align} \label{eq1} &\det D^2 u=\frac{h(x)}{\prod_{i=1
Externí odkaz:
http://arxiv.org/abs/2406.05471
This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond traditional focus on structural inconsistencies. By harnessing LLMs for logical reason
Externí odkaz:
http://arxiv.org/abs/2406.04687
This study targets Multi-Lighting Image Anomaly Detection (MLIAD), where multiple lighting conditions are utilized to enhance imaging quality and anomaly detection performance. While numerous image anomaly detection methods have been proposed, they l
Externí odkaz:
http://arxiv.org/abs/2406.04573
Anomaly detection is vital in various industrial scenarios, including the identification of unusual patterns in production lines and the detection of manufacturing defects for quality control. Existing techniques tend to be specialized in individual
Externí odkaz:
http://arxiv.org/abs/2403.11083
Autor:
Cao, Yunkang, Xu, Xiaohao, Zhang, Jiangning, Cheng, Yuqi, Huang, Xiaonan, Pang, Guansong, Shen, Weiming
Visual Anomaly Detection (VAD) endeavors to pinpoint deviations from the concept of normality in visual data, widely applied across diverse domains, e.g., industrial defect inspection, and medical lesion detection. This survey comprehensively examine
Externí odkaz:
http://arxiv.org/abs/2401.16402
Autor:
Huang, Genggeng, Shen, Weiming
We study asymptotic behaviors of solutions to the Monge-Amp\`ere equation in cones and use the expansion as a tool to study the regularity of solutions in polygonal domains.
Externí odkaz:
http://arxiv.org/abs/2312.01405