4 citations · 13 across the 5 of their papers we have counts for
5 papers · 1 filter
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
Haiming Yao, Wei Luo, Wenyong Yu
In this paper, we introduce the novel state-of-the-art Dual-attention Transformer and Discriminative Flow (DADF) framework for visual anomaly detection. Based on only normal knowle…
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
Haiming Yao, Wenyong Yu, Wei Luo +3
This paper presents a novel framework, named Global-Local Correspondence Framework (GLCF), for visual anomaly detection with logical constraints. Visual anomaly detection has becom…
Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection
Wei Luo, Haiming Yao, Wenyong Yu
Visual anomaly detection plays a significant role in the development of industrial automatic product quality inspection. As a result of the utmost imbalance in the amount of normal…
Clear Memory-Augmented Auto-Encoder for Surface Defect Detection
Wei Luo, Tongzhi Niu, Lixin Tang +2
In surface defect detection, due to the extreme imbalance in the number of positive and negative samples, positive-samples-based anomaly detection methods have received more and mo…
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification
Qiaoling Chen, Zhihao Chen, Wei Luo
Effectively classifying remote sensing scenes is still a challenge due to the increasing spatial resolution of remote imaging and large variances between remote sensing images. Exi…