TY  - JOUR
AU  - Dorota Kaminska
AU  - Kadir Aktas
AU  - Davit Rizhinashvili
AU  - Danila Kuklyanov
AU  - Abdallah Hussein Sham
AU  - Sergio Escalera
AU  - Kamal Nasrollahi
AU  - Thomas B. Moeslund
AU  - Gholamreza Anbarjafari
PY  - 2021//
TI  - Two-stage Recognition and Beyond for Compound Facial Emotion Recognition
T2  - ELEC
JO  - Electronics
SP  - 2847
VL  - 10
IS  - 22
KW  - compound emotion recognition
KW  - facial expression recognition
KW  - dominant and complementary emotion recognition
KW  - deep learning
N2  - Facial emotion recognition is an inherently complex problem due to individual diversity in facial features and racial and cultural differences. Moreover, facial expressions typically reflect the mixture of people’s emotional statuses, which can be expressed using compound emotions. Compound facial emotion recognition makes the problem even more difficult because the discrimination between dominant and complementary emotions is usually weak. We have created a database that includes 31,250 facial images with different emotions of 115 subjects whose gender distribution is almost uniform to address compound emotion recognition. In addition, we have organized a competition based on the proposed dataset, held at FG workshop 2020. This paper analyzes the winner’s approach—a two-stage recognition method (1st stage, coarse recognition; 2nd stage, fine recognition), which enhances the classification of symmetrical emotion labels.
UR  - https://doi.org/10.3390/electronics10222847
L1  - http://refbase.cvc.uab.es/files/.pdf
N1  - HUPBA; no proj
ID  - Dorota Kaminska2021
ER  -