Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
-
Updated
Feb 2, 2020 - Jupyter Notebook
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
This Repo consist code for transfer learning for facial emotion detection via valence and arousal levels. We used pretrained weights from VGG-16 net and apply on that features deep neural network and lstm model in pytorch. We tested our model on Aff-wild net dataset.
Search for a dependency between "annemo" annotations of valence and arousal from RECOLA and Action Units from OpenFace using ARD regression and ARIMA.
Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment" [CoDS-CoMAD'21]
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
Experiments with convolutional neural networks for emotion recognition
[CHI2021] Hidden emotion detection using multi-modal signals
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
[AAAI2021] A repository of Contrastive Adversarial Learning for Person-independent FER
An Emotional Game for Social Expression Learning
This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Experiment to better understand how to use emotion analysis to understand a person's emotional reaction to an audiovisual work
[ECCV2022] The official repository of Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition
hsemotion의 ONNX 구현입니다.
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
Generates multi-instrument symbolic music (MIDI), based on user-provided emotions from valence-arousal plane.
Add a description, image, and links to the valence-arousal topic page so that developers can more easily learn about it.
To associate your repository with the valence-arousal topic, visit your repo's landing page and select "manage topics."