Parallel Cross Strip Attention Network for Single Image Dehazing

arXiv:2405.05811v1 Announce Type: new
Abstract: The objective of single image dehazing is to restore hazy images and produce clear, high-quality visuals. Traditional convolutional models struggle with long-range dependencies due to their limited receptive field size. While Transformers excel at capturing such dependencies, their quadratic computational complexity in relation to feature map resolution makes them less suitable for pixel-to-pixel dense prediction tasks. Moreover, fixed kernels or tokens in most models do not adapt well to varying blur sizes, resulting in suboptimal …

abstract arxiv attention clear complexity computational convolutional cs.cv dependencies excel feature image images map network quality restore struggle transformers type visuals while