infinite-tao / TAS-NetLinks
We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is able to detect key emotion moments and disregard irrelevant and misleading parts.
☆19Updated 2 years ago
Alternatives and similar repositories for TAS-Net
Users that are interested in TAS-Net are comparing it to the libraries listed below
Sorting:
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆70Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆102Updated last week
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆81Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 3 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆65Updated 5 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆56Updated last month
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆44Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆17Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆135Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆32Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆36Updated 3 months ago
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆43Updated 10 months ago
- ☆97Updated 11 months ago
- ☆17Updated 2 years ago
- ☆39Updated 11 months ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆12Updated 6 months ago
- DL model estimating vigilance levels using multimodal EEG and EOG☆29Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆73Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆28Updated 5 months ago