FER+ (Face Expression Recognition Plus dataset)
Introduced by Barsoum et al. in Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
The FER+ dataset is an extension of the original FER dataset, where the images have been re-labelled into one of 8 emotion types: neutral, happiness, surprise, sadness, anger, disgust, fear, and contempt.
Source: https://github.com/Microsoft/FERPlusBenchmarks
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FER+
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PAtt-Lite
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FERPlus
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KTN
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Papers
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