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Li-Xin Tang

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Conference Aug 2026

Data-Aware Optimization for Dual-Frozen ViT Distillation in Unsupervised Anomaly Detection*

Teacher-student distillation based on normal samples has been widely adopted in Unsupervised Anomaly Detection (UAD). Incorporating Vision Transformers (ViTs) into this task enhances global representation capability; however, existing methods still suffer from feature instability caused by pseudo-activation phenomena a...

Shuo Wang, Li-Xin Tang, Dong Ji · 0 citations

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