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awesome-fer icon awesome-fer

A reading list of top Conferences & Journals, focused on facial expression recognition (FER), facial action unit (FAU) recognition and other emotion-related papers.

awesome-python3-webapp icon awesome-python3-webapp

小白的Python入门教程实战篇:网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

cd-fer-benchmark icon cd-fer-benchmark

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

covpoolfer icon covpoolfer

Covariance Pooling for Facial Expression Recognition

curriculum_learning icon curriculum_learning

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

dan icon dan

Official implementation of DAN

dividemix icon dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

dul-pytorch icon dul-pytorch

[2020-CVPR]Data Uncertainty Learning in Face Recognition

exprgan icon exprgan

Facial Expression Editing with Controllable Expression Intensity

fast-mpn-cov icon fast-mpn-cov

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

fecnet icon fecnet

A Keras implementation of FECNet, which proposed in "A Compact Embedding for Facial Expression Similarity"

ferattention icon ferattention

FERAtt: Facial Expression Recognition with Attention Net

fmpn-fer icon fmpn-fer

Official PyTorch Implementation of 'Facial Motion Prior Networks for Facial Expression Recognition', VCIP 2019, Oral

gfnet-pytorch icon gfnet-pytorch

A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 20% on an iPhone XS Max without sacrificing accuracy.

isda-for-deep-networks icon isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

ldam-drw icon ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

mammoth icon mammoth

An Extendible (General) Continual Learning Framework based on Pytorch.

meal icon meal

Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

ml_gcn icon ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

mlproject icon mlproject

Emotion Classifier using landmarks in CK+ dataset

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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