A deep learning technique for context-aware emotion recognition

A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people's faces in images along with contextual features. They presented and outlined their deep learning-based architecture, called CAER-Net, in a paper pre-published on arXiv.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2Zxekmv

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