TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Author:
Affiliation:
1. University of Chinese Academy of Sciences,Beijing,China
2. West Virginia University,Morgantown,USA
3. Institute of Deep Learning,Baidu Research,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711055.pdf?arnumber=9711055
Reference33 articles.
1. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
2. Facial Expression Recognition with Inconsistently Annotated Datasets
3. Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition
4. Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks
5. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;arXiv preprint arXiv 2010 10504,2020
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