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When recognizing emotions, subtle nuances in displays of emotion generate ambiguity or uncertainty in emotion perception.
Interpreting ambiguous emotional expressions
Emily Mower, Angeliki Metallinou, Chi-Chun Lee, Abe Kazemzadeh, Carlos Busso, Sungbok Lee, and Shrikanth Narayanan · 2009
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Adam: A method for stochastic optimization
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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
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Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger · 2017
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Jing Han, Zixing Zhang, Maximilian Schmitt, Maja Pantic, and Björn Schuller · 2017
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Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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Multitask emotion recognition with incomplete labels
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Mimamo net: Integrating micro-and macro-motion for video emotion recognition
Didan Deng, Zhaokang Chen, Yuqian Zhou, and Bertram Shi · 2020
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
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Self-training with noisy student improves imagenet classification
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Self-distillation as instance-specific label smoothing
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