Face Recognition
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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/YuYin1/DA-GAN
공식 코드https://github.com/Yushgoel/AdversarialAttack
공식 코드https://github.com/ZEISS/iPad_TrueDepth_Issue_App
공식 코드On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations
https://github.com/ZEISS/iPad_TrueDepth_Issue_Eval
공식 코드On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations
https://github.com/ZLeopard/PEDCC-Loss
공식 코드A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
https://github.com/ZhaoJ9014/High_Performance_Face_Recognition
공식 코드https://github.com/ZhaoJ9014/face.evoLVe.PyTorch
공식 코드https://github.com/ZhaoxuanWu/Trusted-Maximizers-Entropy-Search-BO
공식 코드Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization
https://github.com/Zielon/MICA
공식 코드https://github.com/ZitongYu/CDCN
공식 코드Searching Central Difference Convolutional Networks for Face Anti-Spoofing
https://github.com/ZitongYu/DeepFAS
공식 코드https://github.com/abacusai/intraprocessing_debiasing
공식 코드https://github.com/abheesht17/super-pixels
공식 코드Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification
https://github.com/abrarmajeedi/Disguised-Facial-Recognition-DFR
공식 코드A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild
https://github.com/advboxes/AdvBox
공식 코드Advbox: a toolbox to generate adversarial examples that fool neural networks
https://github.com/advcolor123/advcolor
공식 코드Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
https://github.com/adversarial-for-goodness/APF
공식 코드https://github.com/afm215/FaVGen
공식 코드Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
https://github.com/ai-forever/ghost
공식 코드A new face swap method for image and video domains: a technical report
https://github.com/alldbi/FLM
공식 코드https://github.com/alonzolfi/adversarialmask
공식 코드Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
https://github.com/amoonfana/fastface
공식 코드FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
https://github.com/angelomenezes/Pytorch_Face_SR
공식 코드https://github.com/anger-man/unsupervised-depth-estimation
공식 코드Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019
공식 코드Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/anjith2006/bob.paper.ijcb2021_vision_transformer_pad
공식 코드On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
https://github.com/anubhav1997/youneednodataset
공식 코드Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
https://github.com/aqeelanwar/MaskTheFace
공식 코드https://github.com/arkel23/animesion
공식 코드https://github.com/arpitbansal297/universal-guided-diffusion
공식 코드https://github.com/asankagp/mod20
공식 코드A Multi-viewpoint Outdoor Dataset for Human Action Recognition
https://github.com/ashafahi/inceptionv3-transferLearn-poison
공식 코드Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/atzoriandrea/Exploratory-Analysis-in-Face-Authentication
공식 코드Explaining Bias in Deep Face Recognition via Image Characteristics
https://github.com/azrealwang/sgadv
공식 코드Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
https://github.com/baidu/AdvBox
공식 코드Advbox: a toolbox to generate adversarial examples that fool neural networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.