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20212024
most citedSLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification

8 citations · 41 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.CV2022★ 2 cited

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection

Zhiwei Yang, Peng Wu, Jing Liu +1

Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks: (1) Establishing a memory bank requires additional memory space. (2)…

cs.CV2022★ 8 cited

MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities

Minghui Yang, Peng Wu, Jing Liu +1

Under the semi-supervised framework, we propose an end-to-end memory-based segmentation network (MemSeg) to detect surface defects on industrial products. Considering the small int…