2 datasets found

The proposed HPAN model uses pixel attention for better image quality than FSRCNN but keeps the structure simple for small model size and low complexity.

The proposed Multi-label Transformer architecture is designed for multi-label image classification, combining pixel attention and cross-window attention to better excavate the...