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Face Recognition

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하위 태스크: 6
평가표: 25
보존된 평가 기록: 88

Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.

The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.

<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>

코드

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

https://github.com/fbiying87/explainable_fiqa_with_amva

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Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models

https://github.com/fdbtrs/AdaDistill

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AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition

https://github.com/fdbtrs/ElasticFace

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ElasticFace: Elastic Margin Loss for Deep Face Recognition

https://github.com/fdbtrs/IDiff-Face

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IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models

https://github.com/fdbtrs/QuantFace

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QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

https://github.com/fdbtrs/Self-restrained-Triplet-Loss

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Self-restrained Triplet Loss for Accurate Masked Face Recognition

https://github.com/fdbtrs/Unsupervised-Face-Recognition-using-Unlabeled-Synthetic-Data

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Unsupervised Face Recognition using Unlabeled Synthetic Data

https://github.com/fdbtrs/cr-fiqa

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CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

https://github.com/fdbtrs/exfacegan

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ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation

https://github.com/fdbtrs/masked-face-recognition-kd

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Mask-invariant Face Recognition through Template-level Knowledge Distillation

https://github.com/fdbtrs/mixfacenets

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MixFaceNets: Extremely Efficient Face Recognition Networks

https://github.com/fdbtrs/pocketnet

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PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

https://github.com/fdbtrs/sface-privacy-friendly-and-accurate-face-recognition-using-synthetic-data

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SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data

https://github.com/fdbtrs/synthetic-face-recognition

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Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition

https://github.com/fengju514/Face-Pose-Net

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FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/fengyuentau/pytorch-flops

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Detect Faces Efficiently: A Survey and Evaluations

https://github.com/forblindrev/aibias

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Fair and accurate age prediction using distribution aware data curation and augmentation

https://github.com/fuenwang/mixfairface

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MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition

https://github.com/fusionbrainlab/adversarialfaces

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Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space

https://github.com/fvmassoli/cross-resolution-face-recognition

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Cross-Resolution Learning for Face Recognition

https://github.com/fvmassoli/mafer-multires-facial-expression-recognition

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MAFER: a Multi-resolution Approach to Facial Expression Recognition

https://github.com/fvmassoli/trj-based-adversarials-detection

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Detection of Face Recognition Adversarial Attacks

https://github.com/fwang91/IMDb-Face

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The Devil of Face Recognition is in the Noise

https://github.com/gauravreddy08/OcularAI

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MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired

https://github.com/gist-ailab/teaching-where-to-look

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Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

https://github.com/git-disl/Chameleon

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Personalized Privacy Protection Mask Against Unauthorized Facial Recognition

https://github.com/gongsixue/DebFace

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Jointly De-biasing Face Recognition and Demographic Attribute Estimation

https://github.com/grigorisg9gr/deformable_tracking_review_ijcv2016

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A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

https://github.com/grigorisg9gr/polynomial_nets

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Deep Polynomial Neural Networks

https://github.com/guanjiyang/sac_jc

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Sample Correlation for Fingerprinting Deep Face Recognition

https://github.com/guoyang9/class-imbalance-VQA

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Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View

https://github.com/gurayozgur/foundpad

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FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

https://github.com/gurayozgur/madation

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MADation: Face Morphing Attack Detection with Foundation Models

https://github.com/gy20073/compact_bilinear_pooling

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Compact Bilinear Pooling

https://github.com/gyh5421/unified_deep_clustering

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Learning the Precise Feature for Cluster Assignment

https://github.com/haibo-qiu/SynFace

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SynFace: Face Recognition with Synthetic Data

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