Arousal Estimation
9 papers with code • 3 benchmarks • 4 datasets
Libraries
Use these libraries to find Arousal Estimation models and implementations
AffectNet
MSP-IMPROV
EMOTIC
AVCAffe
Most implemented papers
Multitask Emotion Recognition with Incomplete Labels
wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels
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We use the soft labels and the ground truth to train the student model.
Pre-training strategies and datasets for facial representation learning
1adrianb/unsupervised-face-representation
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Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e. g. face recognition, facial landmark localization etc.)
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets
HSE-asavchenko/face-emotion-recognition
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CVPR Workshop 2022
In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points.
$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
This report describes a multi-modal multi-task ($M^3$T) approach underlying our submission to the valence-arousal estimation track of the Affective Behavior Analysis in-the-wild (ABAW) Challenge, held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020.
Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
madhurchhajed/Facial-Emotion-Recognition
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In this work, we describe our method for tackling the valence-arousal estimation challenge from ABAW FG-2020 Competition.
Multitask Multi-database Emotion Recognition
glmanhtu/multitask-abaw-2021
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We also exploit the sharing videos between the two tasks of the AffWild2 database that is used in the competition, to further improve the performance of the network.
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
HSE-asavchenko/face-emotion-recognition
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In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points.
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition
HSE-asavchenko/face-emotion-recognition
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In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented.
CAGE: Circumplex Affect Guided Expression Inference
wagner-niklas/cage_expression_inference
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Using a small-scaled MaxViT-based model architecture, we evaluate the impact of discrete expression category labels in training with the continuous valence and arousal labels.
