112 citations · 184 across the 18 of their papers we have counts for
4 papers · 1 filter
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…
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
Peng Xing, Zechao Li
Reconstruction method based on the memory module for visual anomaly detection attempts to narrow the reconstruction error for normal samples while enlarging it for anomalous sample…
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…
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Yanpeng Sun, Qiang Chen, Xiangyu He +7
Freezing the pre-trained backbone has become a standard paradigm to avoid overfitting in few-shot segmentation. In this paper, we rethink the paradigm and explore a new regime: {\e…