2 papers
cs.CV2024
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Shu-Chuan Chu, Zhi-Chao Dou, Jeng-Shyang Pan +2
Transformer-based methods have demonstrated excellent performance on super-resolution visual tasks, surpassing conventional convolutional neural networks. However, existing work ty…
cs.CV2019
Bilinear discriminant feature line analysis for image feature extraction
Lijun Yan, Jun-Bao Li, Xiaorui Zhu +2
A novel bilinear discriminant feature line analysis (BDFLA) is proposed for image feature extraction. The nearest feature line (NFL) is a powerful classifier. Some NFL-based subspa…