4 papers
SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation
Guangzhi Su, Shuchang Huang, Yutong Ke +3
Multimodal large language models (MLLMs) have achieved impressive performance across diverse tasks by jointly reasoning over textual and visual inputs. Despite their success, these…
Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
Long Qian, Bingke Zhu, Yingying Chen +2
Despite substantial progress in anomaly synthesis methods, existing diffusion-based and coarse inpainting pipelines commonly suffer from structural deficiencies such as micro-struc…
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
Long Qian, Bingke Zhu, Yingying Chen +2
Currently, industrial anomaly detection suffers from two bottlenecks: (i) the rarity of real-world defect images and (ii) the opacity of sample quality when synthetic data are used…
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Long Qian, Bingke Zhu, Yingying Chen +2
Overfitting has traditionally been viewed as detrimental to anomaly detection, where excessive generalization often limits models' sensitivity to subtle anomalies. Our work challen…