IEEE

Nonlocal and Local Feature-Coupled Self-Supervised Network for Hyperspectral Anomaly Detection

Abstract: Hyperspectral anomaly detection (HAD) aims to locate targets deviating from the background distribution in hyperspectral images (HSIs) without requiring prior knowledge. Most current deep ...
IEEE

Knowledge Distillation-Based Anomaly Detection via Adaptive Discrepancy Optimization

Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...