https://github.com/Recognito-Vision/Face-SDK-Android-Demo
Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
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/Recognito-Vision/Face-SDK-Linux-Demos
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
https://github.com/RiS3-Lab/ModelXRay
https://github.com/RobotEdh/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/RocketFlash/easy_metric_learning/tree/master/tools
https://github.com/Ruoyiran/DeepID
Deep Learning Face Representation by Joint Identification-Verification
https://github.com/Saiyam26/Deep-Pixel-wise-Binary-Supervision
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/Saiyam26/Face-Anti-Spoofing-using-DeePixBiS
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/SamarpanDas/Face-Recognition-Face-Verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Sarthaks21/Facenet-with-MTCNN-and-SVM
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Satyake/Triplet-Loss_Siamese_NN
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Saurav0074/Cartoon-Face-Detection-and-Recognition
Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems
https://github.com/Seth-Park/MultimodalExplanations
https://github.com/SeungyounShin/GroupFace
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
https://github.com/SevenZhan/Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/SforAiDl/KD_Lib
https://github.com/ShawnDing1994/AOFP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/ShiqiYu/libfacedetection
https://github.com/SimonLliu/CSS_and_up_term
One-shot Face Recognition by Promoting Underrepresented Classes
https://github.com/SimonZsx/nasproj
https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
https://github.com/Soldie/insightface-Rec.Face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Speacer/Super-Resolution-Generative-Adversarial-Networks
https://github.com/Surya9787/suryaprakash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Talgin/facerec
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/TencentYoutuResearch/Adv-Makeup
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
https://github.com/ThrupthiAnn/ThrupthiAnn.github.io
https://github.com/TinDang97/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TinyZeaMays/CircleLoss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/TowardHumanizedInteraction/TripletFace
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Traffic-X/Open-TransMind
https://github.com/TreB1eN/InsightFace_Pytorch
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/TsingZ0/PFL-Non-IID
Federated Learning for Face Recognition with Gradient Correction
https://github.com/UnrealLink/TP-GAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.