Data Code - Homepage of Lintao Peng LSUI is a large-scale underwater image dataset including 4279 image pairs, which covers more abundant underwater scenes (lighting conditions, water types and target categories) and better visual quality reference images than existing underwater datasets
GitHub - LintaoPeng SS-UIE The LSUI is a large-scale underwater image (LSUI) dataset, which involves richer underwater scenes (lighting conditions, water types and target categories) and better visual quality reference images than the existing ones
LSUI Large-Scale Underwater Image Dataset | Datasets | HyperAI LSUI stands for Large Scale Underwater Image Dataset, which is a large-scale underwater image dataset containing 5,004 image pairs This dataset involves richer underwater scenes (lighting conditions, water types, and target categories) and has better visual quality than existing reference images
LSUI - Dataset - LDM The json representation of the dataset with its distributions based on DCAT Zheng Cheng, Guodong Fan, Jingchun Zhou, Min Gan, C L Philip Chen (2024) Dataset: LSUI https: doi org 10 57702 bnowj51m
Abstract arXiv:2111. 11843v2 [cs. CV] 24 Nov 2021 images are generated as comparison references Furthermore, with the prior knowledge that the attenuation of different color channels and space areas in underwater images is inconsistent, we designed a channel-wise multi-scale feature fusion transformer (CMSFFT) and a spatial-wise global feature modeling transformer (SGFMT) based on the
U-Shape Transformer for Underwater Image Enhancement In this work, we built a large scale underwater image (LSUI) dataset, which covers more abundant underwater scenes and better visual quality reference images than existing underwater datasets
LSUI (Large Scale Underwater Image Dataset)|水下图像处理数据集|计算机 . . . We released a large-scale underwater image (LSUI) dataset including 5004 image pairs, which involve richer underwater scenes (lighting conditions, water types and target categories) and better visual quality reference images than the existing ones
U-shape Transformer for Underwater Image Enhancement In this work, we constructed a large-scale underwater image (LSUI) dataset including 4279 image pairs, and reported an U-shape Transformer network where the transformer model is for the first time introduced to the UIE task