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Color Constancy
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Color Constancy is the ability of the human vision system to perceive the colors of the objects in the scene largely invariant to the color of the light source. The task of computational Color Constancy is to estimate the scene illumination and then perform the chromatic adaptation in order to remove the influence of the illumination color on the colors of the objects in the scene.
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A Multi-Hypothesis Approach to Color Constancy
Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Cascading Convolutional Color Constancy
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities
Fast Color Constancy with Patch-wise Bright Pixels
INTEL-TAU: A Color Constancy Dataset
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge
Color Cerberus
Illuminant Chromaticity Estimation from Interreflections
Bag of Color Features For Color Constancy
Color Constancy Convolutional Autoencoder
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
Learning Matchable Image Transformations for Long-term Metric Visual Localization
CroP: Color Constancy Benchmark Dataset Generator
The Past and the Present of the Color Checker Dataset Misuse
Color Constancy by GANs: An Experimental Survey
Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain
The Visual Centrifuge: Model-Free Layered Video Representations
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
Convolutional Neural Networks Deceived by Visual Illusions
Artificial Color Constancy via GoogLeNet with Angular Loss Function
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Color naming guided intrinsic image decomposition
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Spatial Deep Learning for Wireless Scheduling
Color Constancy by Reweighting Image Feature Maps
Learning Illuminant Estimation from Object Recognition
Revisiting Gray Pixel for Statistical Illumination Estimation
Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation
Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
Unsupervised Learning for Color Constancy
A Lightweight Approach for On-the-Fly Reflectance Estimation
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