Title
Facial Emotion Recognition with Noisy Multi-task Annotations
Abstract
Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical and dimensional ones. To reduce human labelling effort on multi-task labels, we introduce a new problem of facial emotion recognition with noisy multi-task annotations. For this new problem, we suggest a formulation fro...
Year
DOI
Venue
2021
10.1109/WACV48630.2021.00007
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Keywords
DocType
ISSN
Emotion recognition,Computer vision,Correlation,Annotations,Conferences,Games,Encoding
Conference
2472-6737
ISBN
Citations 
PageRank 
978-1-6654-0477-8
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Siwei Zhang100.34
Zhiwu Huang225215.26
Danda Pani Paudel300.34
Luc Van Gool4275661819.51