"industrial inspection" Papers
9 papers found
Conference
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
Qingqing Fang, Qinliang Su, Wenxi Lv et al.
AAAI 2025paperarXiv:2412.12850
8
citations
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Wei Luo, Yunkang Cao, Haiming Yao et al.
CVPR 2025arXiv:2503.02424
31
citations
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
18
citations
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Hui-Yue Yang, Hui Chen, Ao Wang et al.
AAAI 2025paperarXiv:2411.17217
9
citations
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.
NEURIPS 2025arXiv:2502.12978
1
citations
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui, Bin-Bin Gao, Jun Liu et al.
ECCV 2024arXiv:2505.09263
21
citations
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
ECCV 2024arXiv:2505.09264
18
citations
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
CVPR 2024arXiv:2312.04521
46
citations
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
53
citations