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...

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Vydané v:	IEEE open journal of the Computer Society Ročník 5; s. 406 - 417
Hlavní autori:	Rizvi, Syed Sameen Ahmad, Seth, Aryan, Challa, Jagat Sesh, Narang, Pratik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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