Deep Learning From Noisy Image Labels With Quality Embedding.bib

@ARTICLE{8506425, 
author={J. {Yao} and J. {Wang} and I. W. {Tsang} and Y. {Zhang} and J. {Sun} and C. {Zhang} and R. {Zhang}}, 
journal={IEEE Transactions on Image Processing}, 
title={Deep Learning From Noisy Image Labels With Quality Embedding}, 
year={2019}, 
volume={28}, 
number={4}, 
pages={1909-1922}, 
keywords={Big Data;gradient methods;image denoising;image recognition;learning (artificial intelligence);optimisation;probability;contrastive-additive noise network;noisy image labels;Big Data;SGD algorithm;optimization;CAN;probabilistic model;network designs;deep learning approaches;visual recognition tasks;quality embedding;Noise measurement;Training;Estimation;Image recognition;Predictive models;Optimization;Deep learning;noisy image labels;quality embedding}, 
doi={10.1109/TIP.2018.2877939}, 
ISSN={1057-7149}, 
month={April}
}