2 papers
cs.CV2026
An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks
Zhipeng Zhang, Wenhui Shou, Wengting Ma +5
Deep learning is widely applied in medical image analysis, but up to 10% of manually labelled images may be incorrect, degrading model performance. This paper proposes an automated…
cs.CV2025
CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures
Shan Gao, Zhiqiang Wu, Yawen Niu +2
While deep neural network (DNN)-based video denoising has demonstrated significant performance, deploying state-of-the-art models on edge devices remains challenging due to stringe…