InFER++: Real-World Indian Facial Expression Dataset

Detecting facial expressions is a challenging task in the field of computer vision. Several datasets and algorithms have been proposed over the past two decades; however, deploying them in real-world, in-the-wild scenarios hampers the overall performance. This is because the training data does not c...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE open journal of the Computer Society Vol. 5; pp. 406 - 417
Main Authors:	Rizvi, Syed Sameen Ahmad, Seth, Aryan, Challa, Jagat Sesh, Narang, Pratik
Format:	Journal Article
Language:	English
Published:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	affective computing Algorithms annotation bias mitigation Annotations Computer vision Cultural differences Datasets Entropy (Information theory) Ethnic factors Face recognition Facial expression recognition Minority & ethnic groups Network latency Parameterization Population distribution Regularization Sociology Statistics Task analysis Transformers India
ISSN:	2644-1268, 2644-1268
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!