Jie Zhong, Xiaotong Tu, Yue Huang 0001, Xinghao Ding. AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. In Qingshan Liu 0001, Hanzi Wang, Zhanyu Ma, Weishi Zheng 0001, Hongbin Zha, Xilin Chen 0001, Liang Wang, Rongrong Ji, editors, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Volume 14429 of Lecture Notes in Computer Science, pages 369-380, Springer, 2023. [doi]
@inproceedings{ZhongTHD23,
title = {AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection},
author = {Jie Zhong and Xiaotong Tu and Yue Huang 0001 and Xinghao Ding},
year = {2023},
doi = {10.1007/978-981-99-8469-5_29},
url = {https://doi.org/10.1007/978-981-99-8469-5_29},
researchr = {https://researchr.org/publication/ZhongTHD23},
cites = {0},
citedby = {0},
pages = {369-380},
booktitle = {Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V},
editor = {Qingshan Liu 0001 and Hanzi Wang and Zhanyu Ma and Weishi Zheng 0001 and Hongbin Zha and Xilin Chen 0001 and Liang Wang and Rongrong Ji},
volume = {14429},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-981-99-8469-5},
}