Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement

H Wang, X Yan, X Hou, J Li, Y Dun, K Zhang - Knowledge-Based Systems, 2024 - Elsevier
Low-light image enhancement strives to improve the contrast, adjust the visibility, and
restore the distortion in color and texture. Existing methods usually pay more attention to …

Extracting Noise and Darkness: Low-Light Image Enhancement via Dual Prior Guidance

H Wang, X Yan, X Hou, K Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The complex entanglement between darkness and noise hinders the advance of low-light
image enhancement. Most existing methods adopted lightening-then-denoising or …

ResCount: A Residual Feature Fusion Network for Ship Counting in Remote Sensing Images

K Yan, K Yang, J Huang, Y Chen… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Ship counting is used to count the number of ships in an image. It has a wide range of
research backgrounds in areas such as port management and maritime security. In specific …

Cross-Domain Density Map-Generated Ship Counting Network for Remote Sensing Image

Y Chen, Q Li, K Yan, S Xiong - IEEE Geoscience and Remote …, 2024 - ieeexplore.ieee.org
In recent years, with the continuous development of remote sensing technology, maritime
ship monitoring has become an important research area. Accurately counting the number of …

DASNet: Dual-Branch Multi-Level Attention Sheep Counting Network

C Yini, G Ronghua, L Qifeng, Z Hongtao, W Rong… - 2024 - researchsquare.com
The grassland sheep counting task is recognized as an efficient approach for promoting the
development of the livestockeconomy and maintaining the ecological balance of the …