Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3281829
Abstract: The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as pansharpening. With the development of convolutional… read more here.
Keywords: fusion; aware fusion; fusion network; similarity ... See more keywords
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3190607
Abstract: Learning low-bitwidth convolutional neural networks (CNNs) is challenging because performance may drop significantly after quantization. Prior arts often quantize the network weights by carefully tuning hyperparameters such as nonuniform stepsize and layerwise bitwidths, which are… read more here.
Keywords: aware transformation; frequency; low precision; quantization ... See more keywords