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Facial Expression Recognition

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하위 태스크: 2
평가표: 7
보존된 평가 기록: 9

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1980x/ABAW2020DMACS

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Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information

https://github.com/1980x/ABAW2021DMACS

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Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training

https://github.com/1980x/CCT

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Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations

https://github.com/1980x/SCAN-CCI-FER

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Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

https://github.com/1980x/dnfer

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Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition

https://github.com/4qlaa7/GCF

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GCF: Graph Convolutional Networks for Facial Expression Recognition

https://github.com/BR-IDL/PaddleViT

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Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition

https://github.com/Bingwen-Hu/ERGAN-Pytorch

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Unsupervised Eyeglasses Removal in the Wild

https://github.com/ClaudiaShu/SSL-FER

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Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition

https://github.com/ControlNet/MARLIN

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MARLIN: Masked Autoencoder for facial video Representation LearnINg

https://github.com/CreativePapers/Learn-to-Synthesize-and-Synthesize-to-Learn

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Learn to synthesize and synthesize to learn

https://github.com/CyberPegasus/IFDD

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Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild

https://github.com/FER-LMC/S2D

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From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

https://github.com/HCPLab-SYSU/AUE-CRL

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AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

https://github.com/HCPLab-SYSU/CD-FER-Benchmark

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Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

https://github.com/HSE-asavchenko/face-emotion-recognition

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Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices

https://github.com/JDAI-CV/FaceX-Zoo/tree/main/addition_module/DMUE

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Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

https://github.com/MasoumehSharafi/DSFDA-for-Pain-Assessment

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Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data

https://github.com/Microsoft/FERPlus

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Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

https://github.com/Open-Debin/Emotion-FAN

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Frame attention networks for facial expression recognition in videos

https://github.com/PanosAntoniadis/emotion-gcn

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Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition

https://github.com/Peihao-Xiang/MTCAE-DFER

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MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition

https://github.com/Xavi3398/ekman_expressions

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Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI

https://github.com/ZichenMiao/GNN-with-Low-rank-Learnable-Local-Filters

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Graph Convolution with Low-rank Learnable Local Filters

https://github.com/ZichenMiao/L3Net

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Graph Convolution with Low-rank Learnable Local Filters

https://github.com/ae-1129/lanmsff

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A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition

https://github.com/altndrr/clup

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Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition

https://github.com/amilkh/cs230-fer

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Facial Expression Recognition with Deep Learning

https://github.com/angusmaiden/complex-fer

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Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features

https://github.com/arin-upna/biased-heritage

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Biased Heritage: How Datasets Shape Models in Facial Expression Recognition

https://github.com/azadlab/FExGAN

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Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network

https://github.com/batuceng/e-mesh-attack

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epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition

https://github.com/bbenligiray/greedy-face-features

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Greedy Search for Descriptive Spatial Face Features

https://github.com/birdwcp/qcs

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QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition

https://github.com/bita-github/MRP-FER

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Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning

https://github.com/bodhis4ttva/lhc_net

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Local Multi-Head Channel Self-Attention for Facial Expression Recognition

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