FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling
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[1] Vlad C. Cardei,et al. A neural network approach to colour constancy , 2000 .
[2] Brian V. Funt,et al. A comparison of computational color constancy Algorithms. II. Experiments with image data , 2002, IEEE Trans. Image Process..
[3] Joost van de Weijer,et al. Author Manuscript, Published in "ieee Transactions on Image Processing Edge-based Color Constancy , 2022 .
[4] Mark S. Drew,et al. Exemplar-Based Color Constancy and Multiple Illumination , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Theo Gevers,et al. Color Constancy Using Natural Image Statistics and Scene Semantics , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Dumitru Erhan,et al. Training Deep Neural Networks on Noisy Labels with Bootstrapping , 2014, ICLR.
[8] Xiaoou Tang,et al. Deep Specialized Network for Illuminant Estimation , 2016, ECCV.
[9] Xiaogang Wang,et al. Learning from massive noisy labeled data for image classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Lou,et al. UvA-DARE (Digital Academic Repository) Color Constancy by Deep Learning Color Constancy by Deep Learning , 2015 .
[11] Trevor Darrell,et al. Fully Convolutional Multi-Class Multiple Instance Learning , 2014, ICLR.
[12] Graham D. Finlayson,et al. Shades of Gray and Colour Constancy , 2004, CIC.
[13] Jonathan T. Barron,et al. Convolutional Color Constancy , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Graham D. Finlayson,et al. Color by Correlation: A Simple, Unifying Framework for Color Constancy , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[15] D H Brainard,et al. Analysis of the retinex theory of color vision. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[16] Michael S. Brown,et al. Effective learning-based illuminant estimation using simple features , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Jiri Matas,et al. Deep structured-output regression learning for computational color constancy , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[18] Mark S. Drew,et al. The Role of Bright Pixels in Illumination Estimation , 2012, Color Imaging Conference.
[19] G. Buchsbaum. A spatial processor model for object colour perception , 1980 .
[20] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Raimondo Schettini,et al. Color constancy using faces , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Dilip K Prasad,et al. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.
[23] Keigo Hirakawa,et al. Color Constancy with Spatio-Spectral Statistics , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Kobus Barnard,et al. Estimating the scene illumination chromaticity by using a neural network. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.
[25] Claudio Cusano,et al. Single and Multiple Illuminant Estimation Using Convolutional Neural Networks , 2015, IEEE Transactions on Image Processing.
[26] Andrew Blake,et al. Bayesian color constancy revisited , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Geoffrey C. Fox,et al. A VLSI Neural Network for Color Constancy , 1990, NIPS.
[28] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[29] Raimondo Schettini,et al. Color constancy using CNNs , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[30] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Raimondo Schettini,et al. Adaptive Color Constancy Using Faces , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Martial Hebert,et al. Color constancy using KL-divergence , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[33] Alain Trémeau,et al. Mixed pooling neural networks for color constancy , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[34] Brian V. Funt,et al. Estimating Illumination Chromaticity via Support Vector Regression , 2004, Color Imaging Conference.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[36] Steven D. Hordley,et al. Scene illuminant estimation: Past, present, and future , 2006 .
[37] Joost van de Weijer,et al. Computational Color Constancy: Survey and Experiments , 2011, IEEE Transactions on Image Processing.
[38] Trevor Darrell,et al. Constrained Convolutional Neural Networks for Weakly Supervised Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] Graham D. Finlayson,et al. Corrected-Moment Illuminant Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[40] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[41] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[42] Brian V. Funt,et al. Bootstrapping color constancy , 1999, Electronic Imaging.
[43] Kobus Barnard,et al. Improvements to Gamut Mapping Colour Constancy Algorithms , 2000, ECCV.
[44] Joan Bruna,et al. Training Convolutional Networks with Noisy Labels , 2014, ICLR 2014.