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cs.CV2026
VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
Hiroto Nakata, Yawen Zou, Shunsuke Sakai +5
Logical anomaly detection in industrial inspection remains challenging due to variations in visual appearance (e.g., background clutter, illumination shift, and blur), which often…
cs.CV2024★ 3 cited
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
Yihao Zhong, Yijing Wei, Yingbin Liang +3
In this paper, an image recognition algorithm based on the combination of deep learning and generative adversarial network (GAN) is studied, and compared with traditional image rec…