5 citations · 8 across the 6 of their papers we have counts for
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cs.CV2022★ 3 cited
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection
Peng Xing, Hao Tang, Jinhui Tang +1
Knowledge Distillation-based Anomaly Detection (KDAD) methods rely on the teacher-student paradigm to detect and segment anomalous regions by contrasting the unique features extrac…
cs.CV2022★ 5 cited
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
Peng Xing, Yanpeng Sun, Zechao Li
Unsupervised anomaly detection is a challenging task in industrial applications since it is impracticable to collect sufficient anomalous samples. In this paper, a novel Self-Super…