publié le: 2023
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings...
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locat...
Pansharpening strives to improve the spatial resolution of multi-spectral images while maintaining spectral fidelity. However, existing methods usuall...
Blind super-resolution (SR) usually involves two sub-problems: (1) estimating the degradation of the given low-resolution (LR) image; (2) super-resolv...
Despite remarkable success has been achieved by convolutional neural networks (CNNs) in no-reference image quality assessment (NR-IQA), there still ex...
