![]() ![]() MVTec-AD dataset show that SPD consistently improves these contrastive Self-supervised framework - SPot-the-difference (SPD) - which can regularizeĬontrastive self-supervised pre-training, such as SimSiam, MoCo and SimCLR, toīe more suitable for anomaly detection tasks. ![]() Images (9,621 normal and 1,200 anomalous samples) covering 12 objects in 3ĭomains, making it the largest industrial anomaly detection dataset to date.īoth image and pixel-level labels are provided. The Visual Anomaly (VisA) Dataset consisting of 10,821 high-resolution color Segmentation in 1-class and 2-class 5/10/high-shot training setups. Learning method for ImageNet pre-training to improve anomaly detection and In this paper, we present a new dataset as well as a new self-supervised Authors: Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer Download PDF Abstract: Visual anomaly detection is commonly used in industrial quality inspection.
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