Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios-Reference-Cited by-同舟云学术

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios

Published:2023-03-22 Issue: Volume: Page:
ISSN:
Container-title:2023 57th Annual Conference on Information Sciences and Systems (CISS)
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Author:

Rajoli Hossein¹,Lotfi Fatemeh¹,Atyabi Adham²,Afghah Fatemeh¹

Affiliation:

1. Clemson University,Holcombe Department of Electrical and Computer Engineering,Clemson,SC,USA

2. University of Colorado Colorado Springs,Department of Computer Science,Colorado Springs,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10089615/10089616/10089734.pdf?arnumber=10089734

Reference24 articles.

1. Deep Metric Learning with Hierarchical Triplet Loss

2. Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

3. HistNet: Histogram-based convolutional neural network with Chi-squared deep metric learning for facial expression recognition

4. TransFER: Learning Relation-aware Facial Expression Representations with Transformers

5. Facial expression recognition in the wild via deep attentive center loss;hossein farzaneh;Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision,0

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