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Emonet unofficial Implemented "Estimation of continuous valence and arousal levels from faces in naturalistic conditions" published in Nature Machine Intelligence 2021

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Unofficial implementation of paper: Estimation of continuous valence and arousal levels from faces in naturalistic conditions

Code is partly forked/copied from the official code of emonet

Training and evaluation

step1:

python train.py --nclassses 5

step2:

python train.py --nclassses 5 --kd --kd_w 0.3 --path step1_model_path

References

[1] Toisoul, Antoine, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, and Maja Pantic. "Estimation of continuous valence and arousal levels from faces in naturalistic conditions." Nature Machine Intelligence 3, no. 1 (2021): 42-50.

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Emonet unofficial Implemented "Estimation of continuous valence and arousal levels from faces in naturalistic conditions" published in Nature Machine Intelligence 2021

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