MAFW
Introduced by Liu et al. in MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild
MAFW is a large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild. It contains 10,045 video-audio clips, annotated with a compound emotional category and a couple of sentences that describe the subjects' affective behaviors in the clip. For the compound emotion annotation, each clip is categorized into one or more of the 11 widely-used emotions, i.e., anger, disgust, fear, happiness, neutral, sadness, surprise, contempt, anxiety, helplessness, and disappointment.
Benchmarks
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MAFW
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MMA-DFER
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MAFW
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EmoCLIP
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Papers
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