CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition

Rieger I, Pahl J, Finzel B, Schmid U (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Proceedings - International Conference on Pattern Recognition

Publisher: IEEE

City/Town: NEW YORK

Pages Range: 798-804

Conference Proceedings Title: 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)

Event location: Montreal, CANADA

DOI: 10.1109/ICPR56361.2022.9956319

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Otto-Friedrich-Universität Bamberg DE Germany (DE)

How to cite

APA:

Rieger, I., Pahl, J., Finzel, B., & Schmid, U. (2022). CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. In 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (pp. 798-804). Montreal, CANADA: NEW YORK: IEEE.

MLA:

Rieger, Ines, et al. "CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition." Proceedings of the 26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA), Montreal, CANADA NEW YORK: IEEE, 2022. 798-804.

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