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Found 4 papers, 2 papers with code
Deep Quantigraphic Image Enhancement via Comparametric Equations
Most recent methods of deep image enhancement can be generally classified into two types: decompose-and-enhance and illumination estimation-centric.
Reflectance-Oriented Probabilistic Equalization for Image Enhancement
Despite recent advances in image enhancement, it remains difficult for existing approaches to adaptively improve the brightness and contrast for both low-light and normal-light images.
Concatenated Feature Pyramid Network for Instance Segmentation
Low level features like edges and textures play an important role in accurately localizing instances in neural networks.
Weakly Supervised Instance Segmentation Using Hybrid Network
Weakly-supervised instance segmentation, which could greatly save labor and time cost of pixel mask annotation, has attracted increasing attention in recent years.
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