Poster "industrial inspection" Papers

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Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Wei Luo, Yunkang Cao, Haiming Yao et al.

CVPR 2025arXiv:2503.02424

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection

Xi Jiang, Jian Li, Hanqiu Deng et al.

ICLR 2025arXiv:2410.09453

Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference

Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.

NEURIPS 2025arXiv:2502.12978

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

Guan Gui, Bin-Bin Gao, Jun Liu et al.

ECCV 2024arXiv:2505.09263

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

Bin-Bin Gao

ECCV 2024arXiv:2505.09264

Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping

Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.

CVPR 2024arXiv:2312.04521

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network

wenqiao Li, Xiaohao Xu, Yao Gu et al.

CVPR 2024arXiv:2311.14897