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Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons

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Standard

Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. / Tran, Dat Thanh; Kiranyaz, Serkan; Gabbouj, Moncef; Iosifidis, Alexandros.

2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. p. 1168-1172 (IEEE International Conference on Image Processing).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Tran, DT, Kiranyaz, S, Gabbouj, M & Iosifidis, A 2019, Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. in 2019 IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing, IEEE, pp. 1168-1172, IEEE International Conference on Image Processing, 1/01/00. https://doi.org/10.1109/ICIP.2019.8804296

APA

Tran, D. T., Kiranyaz, S., Gabbouj, M., & Iosifidis, A. (2019). Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 1168-1172). (IEEE International Conference on Image Processing). IEEE. https://doi.org/10.1109/ICIP.2019.8804296

Vancouver

Tran DT, Kiranyaz S, Gabbouj M, Iosifidis A. Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. In 2019 IEEE International Conference on Image Processing (ICIP). IEEE. 2019. p. 1168-1172. (IEEE International Conference on Image Processing). https://doi.org/10.1109/ICIP.2019.8804296

Author

Tran, Dat Thanh ; Kiranyaz, Serkan ; Gabbouj, Moncef ; Iosifidis, Alexandros. / Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. pp. 1168-1172 (IEEE International Conference on Image Processing).

Bibtex - Download

@inproceedings{1a15a19081ef4a9c83e85edc58351f27,
title = "Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons",
abstract = "Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual surveillance tasks in the computing device. Thus, the ability to share the computation and reuse the information already extracted for other analysis tasks can greatly help reduce the computation load on the devices. In this study, we propose to utilize the knowledge transfer approach for the face verification problem by building a heterogeneous neural network architecture of Generalized Operational Perceptrons on top of the intermediate features extracted for object recognition purpose. Experimental results show that using our proposed approach, a face verification system can be incorporated into an existing visual analysis system with less additional memory and computational cost, compared to other similar approaches.",
keywords = "Face, Visualization, Feature extraction, Neurons, Network architecture, Face recognition, Surveillance, Face Verification, Generalized Operational Perceptron, Progressive Neural Network Learning",
author = "Tran, {Dat Thanh} and Serkan Kiranyaz and Moncef Gabbouj and Alexandros Iosifidis",
note = "EXT={"}Kiranyaz, Serkan{"} EXT={"}Iosifidis, Alexandros{"}",
year = "2019",
month = "9",
doi = "10.1109/ICIP.2019.8804296",
language = "English",
isbn = "978-1-5386-6250-2",
series = "IEEE International Conference on Image Processing",
publisher = "IEEE",
pages = "1168--1172",
booktitle = "2019 IEEE International Conference on Image Processing (ICIP)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons

AU - Tran, Dat Thanh

AU - Kiranyaz, Serkan

AU - Gabbouj, Moncef

AU - Iosifidis, Alexandros

N1 - EXT="Kiranyaz, Serkan" EXT="Iosifidis, Alexandros"

PY - 2019/9

Y1 - 2019/9

N2 - Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual surveillance tasks in the computing device. Thus, the ability to share the computation and reuse the information already extracted for other analysis tasks can greatly help reduce the computation load on the devices. In this study, we propose to utilize the knowledge transfer approach for the face verification problem by building a heterogeneous neural network architecture of Generalized Operational Perceptrons on top of the intermediate features extracted for object recognition purpose. Experimental results show that using our proposed approach, a face verification system can be incorporated into an existing visual analysis system with less additional memory and computational cost, compared to other similar approaches.

AB - Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual surveillance tasks in the computing device. Thus, the ability to share the computation and reuse the information already extracted for other analysis tasks can greatly help reduce the computation load on the devices. In this study, we propose to utilize the knowledge transfer approach for the face verification problem by building a heterogeneous neural network architecture of Generalized Operational Perceptrons on top of the intermediate features extracted for object recognition purpose. Experimental results show that using our proposed approach, a face verification system can be incorporated into an existing visual analysis system with less additional memory and computational cost, compared to other similar approaches.

KW - Face

KW - Visualization

KW - Feature extraction

KW - Neurons

KW - Network architecture

KW - Face recognition

KW - Surveillance

KW - Face Verification

KW - Generalized Operational Perceptron

KW - Progressive Neural Network Learning

U2 - 10.1109/ICIP.2019.8804296

DO - 10.1109/ICIP.2019.8804296

M3 - Conference contribution

SN - 978-1-5386-6250-2

T3 - IEEE International Conference on Image Processing

SP - 1168

EP - 1172

BT - 2019 IEEE International Conference on Image Processing (ICIP)

PB - IEEE

ER -