W Huang, M Ye, Z Shi, G Wan, H Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties. Recently, with the popularity of federated learning, an …
A Niu, TX Pham, K Zhang, J Sun, Y Zhu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Diffusion models have gained significant popularity for image-to-image translation tasks. Previous efforts applying diffusion models to image super-resolution have demonstrated that …
As a newly emerging advance in deep generative models, diffusion models have achieved state-of-the-art results in many fields, including computer vision, natural language …
G Raut, A Singh - arXiv preprint arXiv:2402.16369, 2024 - arxiv.org
Generative AI models have revolutionized various fields by enabling the creation of realistic and diverse data samples. Among these models, diffusion models have emerged as a …
H Guo, X Su, C Wu, B Du… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Buildings and roads are the two most basic man-made environments that carry and interconnect human society. Building and road information has important application value …
J Fang, J Yang, A Khader, L Xiao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The current advanced hyperspectral super-resolution methods utilize convolutional neural networks (CNNs) that are either deeper or wider. These networks are designed to acquire …
Global and local modeling is essential for image super-resolution tasks. However, current efforts often lack explicit consideration of the cross-scale knowledge in large-scale earth …
Z Lihe, J He, Q Yuan, X Jin, Y Xiao, L Zhang - Information Fusion, 2024 - Elsevier
Remote sensing haze removal is a popular computational imaging technique that directly obtains clear remote sensing data from hazy remote sensing images. Apart from prior-based …
A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature …