Imperial College London

STEFANOS ZAFEIRIOU, PhD

Faculty of EngineeringDepartment of Computing

Reader in Machine Learning and Computer Vision
 
 
 
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Contact

 

+44 (0)20 7594 8461s.zafeiriou Website CV

 
 
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Location

 

375Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Kollias:2018:10.1109/IJCNN.2018.8489340,
author = {Kollias, D and Zafeiriou, S},
doi = {10.1109/IJCNN.2018.8489340},
publisher = {IEEE},
title = {Training deep neural networks with different datasets In-the-wild: The emotion recognition paradigm},
url = {http://dx.doi.org/10.1109/IJCNN.2018.8489340},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - A novel procedure is presented in this paper, for training a deep convolutional and recurrent neural network, taking into account both the available training data set and some information extracted from similar networks trained with other relevant data sets. This information is included in an extended loss function used for the network training, so that the network can have an improved performance when applied to the other data sets, without forgetting the learned knowledge from the original data set. Facial expression and emotion recognition in-the-wild is the test bed application that is used to demonstrate the improved performance achieved using the proposed approach. In this framework, we provide an experimental study on categorical emotion recognition using datasets from a very recent related emotion recognition challenge.
AU - Kollias,D
AU - Zafeiriou,S
DO - 10.1109/IJCNN.2018.8489340
PB - IEEE
PY - 2018///
SN - 2161-4407
TI - Training deep neural networks with different datasets In-the-wild: The emotion recognition paradigm
UR - http://dx.doi.org/10.1109/IJCNN.2018.8489340
UR - http://hdl.handle.net/10044/1/71009
ER -