For RGB-D salient object detection (SOD), a fundamental challenge lies in establishing effective cross-modality interactions between the input graphic domain (RGB and depth modalities) and the output saliency domain. While existing deep learning methods primarily focus on modeling image-level consistency through carefu...
Jingyi Xu, Xin Deng, Minglang Qiao et al.· IEEE Transactions on Pattern...· 0 citations
For multi-modal image super-resolution (MISR), exploring cross-modal consistency is of vital importance. However, most existing consistency priors struggle to preserve high-frequency components and fail to provide generalizable regularization, often resulting in blurred edges or inaccurate textures. In this paper, we r...
Jingyi Xu, Xin Deng, Yutong Wang et al.· IEEE Transactions on Pattern...· 0 citations
The deep unfolding network represents a promising research avenue in fusion-based hyperspectral image super-resolution (HSI-SR). However, most current deep unfolding methodologies are anchored in idealized observation models, which overlook the degradation of the multispectral image (MSI), hindering their SR performanc...
Mai Xu, Yong Dou, Xin Deng et al.· IEEE Transactions on Image P...· 0 citations
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