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Face Verification

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하위 태스크: 1
평가표: 21
보존된 평가 기록: 130

Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.

<span style="color:grey; opacity: 0.6">( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )</span>

코드

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

https://github.com/AI-secure/SemanticAdv

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SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

https://github.com/Affectiva/LEGAN_Perceptual_Dataset

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LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements

https://github.com/AlfredXiangWu/LightCNN

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A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/AlfredXiangWu/face_verification_experiment

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A Light CNN for Deep Face Representation with Noisy Labels

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

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Unsupervised Eyeglasses Removal in the Wild

https://github.com/BradyFU/DVG

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Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

https://github.com/HuangYG123/CurricularFace

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CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

https://github.com/IrvingMeng/MagFace

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MagFace: A Universal Representation for Face Recognition and Quality Assessment

https://github.com/JRConti/EthicalModule_vMF

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Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

https://github.com/MIvanovska/MAD-DDPM

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Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models

https://github.com/MSoumm/FaVFA

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Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification

https://github.com/Martlgap/btm-stm

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Susceptibility to Image Resolution in Face Recognition and Trainings Strategies

https://github.com/NetoPedro/FocusFace

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FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

https://github.com/OpenImagingLab/LenslessFace

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LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification

https://github.com/ZhaoJ9014/High_Performance_Face_Recognition

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Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

https://github.com/afm215/FaVGen

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Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification

https://github.com/aimultimedialab/favci2d-face-verification-with-challenging-imposters-and-diversified-demographics

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Face Verification with Challenging Imposters and Diversified Demographics

https://github.com/alibaba-miil/headsharingkd

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It's All in the Head: Representation Knowledge Distillation through Classifier Sharing

https://github.com/angelomenezes/Pytorch_Face_SR

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Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition

https://github.com/arturjordao/IncrementalDimensionalityReduction

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Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

https://github.com/awslabs/cis-matching-tasks

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Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations

https://github.com/azgo14/classification_metric_learning

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Classification is a Strong Baseline for Deep Metric Learning

https://github.com/barisgecer/facegan

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Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

https://github.com/bidalab/chatgpt_facebiometrics

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How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability

https://github.com/caltechvisionlab/frt-rapid-test

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A Rapid Test for Accuracy and Bias of Face Recognition Technology

https://github.com/cc-hpc-itwm/facialgan

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FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces

https://github.com/chrisdonahue/sdgan

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Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

https://github.com/deepinsight/insightface

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ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc

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Partial FC: Training 10 Million Identities on a Single Machine

https://github.com/dreamflake/odi

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Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

https://github.com/eglxiang/vgg_face

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Pose-Selective Max Pooling for Measuring Similarity

https://github.com/eglxiang/ytf

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Pose-Selective Max Pooling for Measuring Similarity

https://github.com/facebookresearch/detectron

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Focal Loss for Dense Object Detection

https://github.com/fahadshamshad/clip2protect

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CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search

https://github.com/fahadshamshad/deep-facial-privacy-prior

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Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors

https://github.com/fdbtrs/ElasticFace

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ElasticFace: Elastic Margin Loss for Deep Face Recognition

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