image enhancement
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks Shuai He
Assessment (IEA) is now being accorded serious attention.
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Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
The code is publicly available at https://github.com/jinnh/GSAD.
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- Information Technology > Sensing and Signal Processing > Image Processing (1.00)
- Information Technology > Artificial Intelligence > Vision (1.00)
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.94)
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You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detection
In this paper, we introduce YOLA, a novel framework for object detection in low-light scenarios. Unlike previous works, we propose to tackle this challenging problem from the perspective of feature learning.
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- Research Report > Experimental Study (0.93)
- Research Report > New Finding (0.67)
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- Information Technology > Sensing and Signal Processing > Image Processing (1.00)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Adaptive GNN for Image Analysis and Editing
Lingyu Liang, LianWen Jin, Yong Xu
Neural Information Processing Systems http://nips.cc/
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- Asia > China > Guangdong Province > Guangzhou (0.04)
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- Europe > Latvia > Lubāna Municipality > Lubāna (0.04)
- Europe > Germany > Bavaria > Upper Bavaria > Munich (0.04)
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MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
Moreover, CNNs and Transformers struggle to capture global degradation due to their limited receptive fields.
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- Asia > China > Jiangsu Province > Nanjing (0.04)
- Europe > Latvia > Riga Municipality > Riga (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.93)
- Information Technology > Artificial Intelligence > Vision > Image Understanding (0.67)