https://git.unl.edu/ece-unl-images-lab/cross-domain-identification
공식 코드Cross-Domain Identification for Thermal-to-Visible Face Recognition
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/1adrianb/unsupervised-face-representation
공식 코드Pre-training strategies and datasets for facial representation learning
https://github.com/1ho0jin1/osfi-by-finetuning
공식 코드Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
https://github.com/ACM-MM-2020-Submission/Submission123
공식 코드https://github.com/AI-secure/GMI-Attack
공식 코드The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
https://github.com/AI-secure/PSBA
공식 코드Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
https://github.com/AI-secure/SemanticAdv
공식 코드SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
https://github.com/AaronSun2000/MakeupAttack
공식 코드MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup Transfer
https://github.com/Akinori-F-Ebihara/SpecDiff-spoofing-detector
공식 코드Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices
https://github.com/AlfredXiangWu/LightCNN
공식 코드https://github.com/AlfredXiangWu/face_verification_experiment
공식 코드https://github.com/Alpkant/Thermal-to-Visible-Face-Recognition-Using-Deep-Autoencoders
공식 코드https://github.com/AmIAttribute/AmI
공식 코드Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
https://github.com/Baojin-Huang/Webface-OCC
공식 코드https://github.com/BehroozRazeghi/CLUB
공식 코드Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
https://github.com/BehroozRazeghi/Variational-Leakage
공식 코드Variational Leakage: The Role of Information Complexity in Privacy Leakage
https://github.com/BiDAlab/DiveFace
공식 코드SensitiveNets: Learning Agnostic Representations with Application to Face Images
https://github.com/BradyFU/DVG
공식 코드Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
https://github.com/DingXiaoH/RepMLP
공식 코드RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/Drkun/ZSTCI
공식 코드https://github.com/EduardaCaldeira/DiffProb
공식 코드https://github.com/FaceOnLive/Face-Recognition-SDK-Android
공식 코드Cross-Age Contrastive Learning for Age-Invariant Face Recognition
https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android
공식 코드Generalized Face Liveness Detection via De-fake Face Generator
https://github.com/Garsonjw/AdvFAS
공식 코드AdvFAS: A robust face anti-spoofing framework against adversarial examples
https://github.com/HSE-asavchenko/mobile-visual-preferences
공식 코드https://github.com/Hangz-nju-cuhk/Rotate-and-Render
공식 코드Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
https://github.com/HanxunH/Unlearnable-Examples
공식 코드https://github.com/HuangYG123/CurricularFace
공식 코드CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
https://github.com/HuangYG123/DDL
공식 코드Improving Face Recognition from Hard Samples via Distribution Distillation Loss
https://github.com/Hzzone/MTLFace
공식 코드When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
https://github.com/IrvingMeng/MagFace
공식 코드MagFace: A Universal Representation for Face Recognition and Quality Assessment
https://github.com/JDAI-CV/faceX-Zoo
공식 코드https://github.com/JDAI-CV/fast-reid
공식 코드FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/JFChi/Understanding-and-Mitigating-Accuracy-Disparity-in-Regression
공식 코드Understanding and Mitigating Accuracy Disparity in Regression
https://github.com/JRConti/EthicalModule_vMF
공식 코드Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
https://github.com/KaenChan/ProbFace
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.