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- Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising14
A novel model for remote sensing image denoising, called the anisotropic weighted total variation feature fusion network (AWTVF2Net), consisting of four novel modules (WTV-Net, SOSB, AuEncoder, and FB), which combines traditional total variation with a deep neural network, improving the denoised ability of the proposed approach.
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- Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification–
Multi-View Synergistic Learning (MVSL) is proposed, a unified framework that addresses biomedical image classification under low-resource conditions by jointly considering adaptation paradigms, representation granularity, and disease semantic relationships and preserves disease-level semantic structure.
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