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cs.CV2026
ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection
Jingtai He, Shiyuan Meng, Wenchao Meng +1
Industrial anomaly detection (IAD) requires identifying fine-grained deviations from normal visual patterns. Multimodal large language models (MLLMs) can improve recognition accura…
cs.CV2021
Few-shot learning with improved local representations via bias rectify module
Chao Dong, Qi Ye, Wenchao Meng +1
Recent approaches based on metric learning have achieved great progress in few-shot learning. However, most of them are limited to image-level representation manners, which fail to…