2 papers
cs.LG2024
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li, Jihoon Chung, Mengnan Du +3
Model compression is a crucial part of deploying neural networks (NNs), especially when the memory and storage of computing devices are limited in many applications. This paper foc…
cs.CV2024
Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
Jianfeng Huang, Chenyang Li, Yimin Lin +1
It is hard to collect enough flaw images for training deep learning network in industrial production. Therefore, existing industrial anomaly detection methods prefer to use CNN-bas…