Oct 11, 2019 · Aff-Wild is currently the largest database consisting of spontaneous facial expression in the wild annotated with valence and arousal.
Aff-Wild is a large-scale in-the-wild dataset for valence-arousal estimation from videos with a variety of head poses, illumination conditions and occlusions.
Oct 11, 2019 · The purpose of this project is to study the previous work that was done for the "in the wild" emotions recognition concept, design a new dataset ...
Missing: AffWildNet. | Show results with:AffWildNet.
The "affwildnet-resnet-gru" folder contains the AffWildNet architecture (with no landmarks and no fully connected layer; a Resnet-50 followed by a GRU network) ...
This project is the completion of extending Aff-Wild database, an end-to-end DNN is constructed to have joint CNN and RNN block and gives the estimation on ...
Feb 13, 2019 · In this paper, we introduce the Aff-Wild benchmark for training and evaluating affect recognition algorithms.
The AffWildNet produced state-of-the-art results on the Aff-Wild Challenge. We then exploit the AffWild database for learning features, which can be used as ...
Aff-Wild is currently the largest database consisting of spontaneous facial expression in the wild annotated with valence and arousal. ... The diversity is ...
The purpose of this project is to study the previous work that was done for the "in the wild" emotions recognition concept, design a new dataset which has as a ...
In this paper, we introduce the Aff-Wild benchmark for training and evaluating affect recognition algorithms.