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cs.CV2025
LightQANet: Quantized and Adaptive Feature Learning for Low-Light Image Enhancement
Xu Wu, Zhihui Lai, Xianxu Hou +3
Low-light image enhancement (LLIE) aims to improve illumination while preserving high-quality color and texture. However, existing methods often fail to extract reliable feature re…
cs.CV2025★ 2 cited
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo +2
Recent advancements in deep learning for image classification predominantly rely on convolutional neural networks (CNNs) or Transformer-based architectures. However, these models f…