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.
☆18Updated last year
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☆21Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆111Updated 2 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆58Updated 4 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- code for LMDA☆84Updated 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 …☆19Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆51Updated 3 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆76Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- DL model estimating vigilance levels using multimodal EEG and EOG☆28Updated 3 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆43Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆16Updated last year
- Emotion Recogniton LSTM RNN Arousal Valence☆57Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated last month
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- ☆21Updated 2 years ago
- ☆17Updated 2 years ago
- ☆37Updated 10 months ago
- ☆24Updated last year
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆40Updated 8 months ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆41Updated 5 years ago
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆24Updated 4 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago