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DESRGAN: Detail-enhanced generative adversarial networks for small sample single image super-resolution
C Ma, J Mi, W Gao, S Tao - Neurocomputing, 2025 - Elsevier
Image super-resolution involves reconstructing a blurry, low-resolution image with limited
information into a clear, high-resolution image containing more detailed information. The …
information into a clear, high-resolution image containing more detailed information. The …
[HTML][HTML] DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image
Z Chen, Y Chen, Y Wang, X Wang, X Wang, Z **ang - Remote Sensing, 2024 - mdpi.com
Hyperspectral images (HSI) contain abundant spectral information. Efficient extraction and
utilization of this information for image classification remain prominent research topics …
utilization of this information for image classification remain prominent research topics …
A diffusion model-assisted multi-scale spectral attention network for hyperspectral image super-resolution
K He, Y Cai, S Peng, M Tan - IEEE Journal of Selected Topics …, 2024 - ieeexplore.ieee.org
Hyperspectral images (HSIs) can reflect the spectral characteristics of objects in multiple
bands, which can be used in various tasks, including classification, material detection and …
bands, which can be used in various tasks, including classification, material detection and …
IIRNet: Infinite impulse response inspired network for compressed video quality enhancement
M Zhang, L Zheng, Y Li, X Gao - Neurocomputing, 2025 - Elsevier
Deep learning approaches have demonstrated notable advancements in a compressed
video quality enhancement (CVQE) task. Nevertheless, they inadequately account for the …
video quality enhancement (CVQE) task. Nevertheless, they inadequately account for the …