ZBigFish / AffectNet-Dataset-Preprocessing-Tool
A Python tool for preprocessing the AffectNet dataset into a structure that can be directly read by Pytorch's ImageFolder method.一个用于预处理AffectNet数据集的Python工具，使其可以直接被Pytorch中的ImageFolder方法读取。
☆13Updated 10 months ago
Alternatives and similar repositories for AffectNet-Dataset-Preprocessing-Tool:
Users that are interested in AffectNet-Dataset-Preprocessing-Tool are comparing it to the libraries listed below
- [MM'21] Former-DFER: Dynamic Facial Expression Recognition Transformer☆77Updated 2 years ago
- “Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin”, CVPR 2022.☆63Updated last year
- MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition (ACM MM 2023)☆99Updated 3 months ago
- [TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Rec…☆57Updated last month
- ☆20Updated last year
- Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognitio…☆82Updated last year
- [TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild☆86Updated last year
- code for: POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition☆49Updated last year
- Dynamic Facial Expression Recognition☆24Updated last year
- PaddlePaddle and PyTorch implementation of APViT and TransFER☆37Updated last year
- Expression Snippet Transformer for Robust Video-based Facial Expression Recognition☆13Updated 11 months ago
- Official implementation of the NeurIPS2023 paper: Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognit…☆26Updated last year
- A Github repository about micro-expression recognition, micro-expression detection, and micro-expression analysis☆105Updated 3 weeks ago
- Data Leakage and Evaluation Issues in Micro-Expression Analysis and MEB☆25Updated 7 months ago
- [IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code☆165Updated last month
- Code for paper multi-scale dynamic and hierarchical relationship modeling for facial action units recognition☆22Updated 6 months ago
- ☆128Updated last year
- Micro Expression Generation☆14Updated 8 months ago
- [ICME-2023] Official Pytorch implementation of AU-aware graph convolutional network for Macro- and Micro-expression spotting☆22Updated 5 months ago
- [CVPR 2023] Micron-BERT: BERT-based Facial Micro-Expression Recognition☆137Updated last year
- Official implementation of our NeurIPS2021 paper: Relative Uncertainty Learning for Facial Expression Recognition☆53Updated 2 years ago
- ☆33Updated last year
- ☆65Updated 4 months ago
- ☆11Updated 2 years ago
- Unofficial implementation of "Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition - CVPR'21"☆18Updated 10 months ago
- Adaptive multi-layer perceptual attention network for facial expression recognition, TCSVT, 2022☆13Updated 2 years ago
- ☆20Updated 2 years ago
- A Micro-Expression Analysis Network (MEAN) to spot-then-recognize micro-expressions☆33Updated 2 years ago
- ☆10Updated 2 years ago