Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach

Zanca D, Melacci S, Gori M (2020)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Article Number: 9207438

ISBN: 9781728169262

DOI: 10.1109/IJCNN48605.2020.9207438

Authors with CRIS profile

Dario Zanca Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Additional Organisation(s)

Machine Learning and Data Analytics Lab

Involved external institutions

Università degli Studi di Siena (UNISI) / University of Siena IT Italy (IT)

How to cite

APA:

Zanca, D., Melacci, S., & Gori, M. (2020). Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach. In Proceedings of the 2020 International Joint Conference on Neural Networks, IJCNN 2020. Institute of Electrical and Electronics Engineers Inc..

MLA:

Zanca, Dario, Stefano Melacci, and Marco Gori. "Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach." Proceedings of the 2020 International Joint Conference on Neural Networks, IJCNN 2020 Institute of Electrical and Electronics Engineers Inc., 2020.

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