Arousal Estimation
12 papers with code • 4 benchmarks • 5 datasets
Libraries
Use these libraries to find Arousal Estimation models and implementations
AffectNet
MSP-IMPROV
EMOTIC
AVCAffe
MEEG
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.)
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.
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.
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.
Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities
Within the field of Humanities, there is a recognized need for educational innovation, as there are currently no reported tools available that enable individuals to interact with their environment to create an enhanced learning experience in the humanities (e. g., immersive spaces).
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.
