Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Previous works have indicated that Transformer-based models bring impressive image reconstruction performance in single image super-resolution (SISR). However, existing Transformer-based approaches utilize self-attention within non-overlapping window...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Accurate traffic flow forecasting is critical for intelligent transportation systems, yet increasing model complexity in spatiotemporal graph neural networks does not always yield proportional gains. In this paper, we present a Bilinear Spatiotempora...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Effective visual representation is crucial for image captioning task. Among the existing methods, the grid-based visual encoding methods take fragmented features extracted from the entire image as input, lacking the fine-grained semantic information ...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
This paper proposes a novel one-layer neural network to solve quadratic programming problems in real time by using a control parameter and transforming the optimality conditions into a system of projection equations. The proposed network includes two...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Energy-based models (EBMs) show their efficiency in density estimation. However, MCMC sampling in traditional EBMs suffers from expensive computation. Although EBMs with minimax game avoid the above drawback, the energy estimation and generator's opt...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Convolutional neural networks (CNNs) are highly regarded for their ability to extract semantic information from visual inputs. However, this capability often leads to the inadvertent loss of important visual details. In this paper, we introduce an Ad...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Benefiting from the booming development of Transformer methods, the performance of lane detection tasks has been rapidly improved. However, due to the influence of inaccurate lane line shape constraints, the query sequences of existing transformer-ba...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
High-voltage defibrillation for eliminating cardiac spiral waves has significant side effects, necessitating the pursuit of low-energy alternatives for a long time. Adaptive optimization techniques and machine learning methods provide promising solut...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in physiological signals for emotion recognition. However, since physiological signals are non-stationary and susceptible to various noises, there exists int...
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Semi-supervised learning methods have wide applications thanks to the reasonable utilization for a part of label information of data. In recent years, non-negative matrix factorization (NMF) has received considerable attention because of its interpre...