Informative knowledge distillation for image anomaly segmentation

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Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction

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Siamese Contrastive Reverse Distillation for Industrial Anomaly Localization

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RNaAE: A Novel Approach for Identifying Unseen Railway Anomalies

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Towards consistent representation for reverse distillation on lung CT-scan images

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HRD-Net: A Hybrid Residual Denoising Network for Anomaly Detection and Localization Based on Knowledge Distillation

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Unsupervised Industrial Products Anomaly Detection Via Adaptive Complementary Channels and Complete Span Enhancement

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Agm-Net: Attention-guided masking denoising anomaly location network

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Synthetic anomalies oriented knowledge distillation with discrepancy enhancements for industrial anomaly detection

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Lightweight Industrial Anomaly Detection via Multi-Architecture Knowledge Distillation

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FSP-Net: knowledge distillation with multiscale feature fusion and skip pyramid for accurate anomaly detection

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Few-Shot Anomaly Classification by Learning to Inpaint Nominal Images

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Revisiting Symmetric Teacher-Student Network Distillation for Anomaly Detection

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A framework for unsupervised anomaly detection in real-world cable inspection

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Prior-Guided and Gaussian Mixture-Refined Network for Industrial Anomaly Detection and Localization

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Dynamic multi-scale feature distillation with global–local decoupling for fabric anomaly detection

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Semi-supervised deep learning for robust anomaly detection in smart manufacturing systems

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Anomaly localization of industrial images based on coordinate dual memory banks and difference subsection evolution

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The Clinical Significance of Imaging Biomarkers Discoverable by Anomaly Detection Methods in Retinal Diseases: A Review

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A swin transformer enhanced reverse knowledge distillation model for industrial anomaly detection via window-aware stochastic local perturbation

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An efficient multi-granularity self-distillation network for image tampering localization

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Domain-Adapted CLIP with Anatomy-Aware Synthetic Lesions for Unsupervised Chest X-Ray Anomaly Detection

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Hierarchical feature fusion and recurrent refinement for anomaly detection

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3D industrial anomaly detection via local-global collaboration

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Pose-robust and context-aware industrial few-shot anomaly detection via deformable alignment

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PMGRD: A Prototype Memory-Guided Reverse Distillation Framework for Anomaly Detection

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FastAD: A Deployable Framework for Real-Time Visual Anomaly Detection

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Edge AI-based Self-Supervised Surface Defect Localization for Industrial Visual Inspection

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Anomaly Agent: Unified Anomaly Retrieval and Synthesis Before Manufacturing

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Minding Anomaly Patterns via Uncertainty-Guided Heterogeneous Knowledge Distillation with Denoising

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MV-DGC: Multi-View Masked Inpainting and Deviation-Guided Geometric Consistency Perception for 3D Point cloud anomaly detection

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A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection

Jiang, Y., Cao, Y., & Shen, W. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110982 · Cited by 52

Abnormal-Aware Loss and Full Distillation for Unsupervised Anomaly Detection Based on Knowledge Distillation

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Unsupervised anomaly detection and localization via bidirectional knowledge distillation

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Semantic-Guided Denoising Knowledge Distillation Model for Anomaly Detection

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ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection

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