Yalei Lv

HOCA: Higher-Order Channel Attention for Single Image Super-Resolution

Convolutional neural networks (CNNs) have obtained great success in single image super-resolution (SR). More recent works (e.g., RCAN and SAN) have obtained remarkable performance with channel attention based on first- or second-order statistics of features. However, these methods neglect the rich f…