12 citations · 12 across the 5 of their papers we have counts for
4 papers · 1 filter
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification
Jiahong Zhang, Lihong Cao, Moning Zhang +1
Backpropagation-based supervised learning has achieved great success in computer vision tasks. However, its biological plausibility is always controversial. Recently, the bio-inspi…
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition
Jiahong Zhang, Lihong Cao, Qiuxia Lai +2
The partially occluded image recognition (POIR) problem has been a challenge for artificial intelligence for a long time. A common strategy to handle the POIR problem is using the…
Considering Image Information and Self-similarity: A Compositional Denoising Network
Jiahong Zhang, Yonggui Zhu, Wenshu Yu +1
Recently, convolutional neural networks (CNNs) have been widely used in image denoising. Existing methods benefited from residual learning and achieved high performance. Much resea…
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
Jiahong Zhang, Meijun Qu, Ye Wang +1
Recently, convolutional neural networks (CNNs) and attention mechanisms have been widely used in image denoising and achieved satisfactory performance. However, the previous works…