Papers with Code 아카이브
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/thended32/analyzingcombineddegradations
공식 코드Analyzing the Effect of Combined Degradations on Face Recognition
https://github.com/thiagoambiel/PortraitStylization
공식 코드Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
https://github.com/thu-ml/at3d
공식 코드Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
https://github.com/tiandunx/FFC
공식 코드An Efficient Training Approach for Very Large Scale Face Recognition
https://github.com/tiandunx/loss_function_search
공식 코드https://github.com/tokaka22/gmaa
공식 코드https://github.com/uam-biometrics/FaceQnet
공식 코드FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/uam-biometrics/faceqgen
공식 코드FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
https://github.com/unibas-gravis/parametric-face-image-generator
공식 코드Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/usmancheema89/SejongFaceDatabase
공식 코드https://github.com/vcllab/ifqa
공식 코드https://github.com/viebboy/MultilinearCompressiveLearningFramework
공식 코드https://github.com/viebboy/SIPL
공식 코드https://github.com/visionjo/facerec-bias-bfw
공식 코드https://github.com/visteam-isr-uc/ylfw
공식 코드Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
https://github.com/vitoralbiero/afd_dataset_cleaned
공식 코드https://github.com/vitoralbiero/gender_balance_training_data
공식 코드How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
https://github.com/vitoralbiero/vggface2_test_cleaned
공식 코드https://github.com/vprlab/iexam
공식 코드iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
https://github.com/vrkh1996/IPU-Net
공식 코드https://github.com/vsingh-group/LCODEC-deep-unlearning
공식 코드Deep Unlearning via Randomized Conditionally Independent Hessians
https://github.com/vuvko/fitw2020
공식 코드Achieving Better Kinship Recognition Through Better Baseline
https://github.com/wbteng9526/mtut_fr
공식 코드https://github.com/wentianzhang-ml/frt-pad
공식 코드FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
https://github.com/wi-pi/fairness_face_obfuscation
공식 코드Fairness Properties of Face Recognition and Obfuscation Systems
https://github.com/wiebket/bt4vt
공식 코드https://github.com/wkabbani/sclera-segmentation
공식 코드Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
https://github.com/wq2012/kPCA
공식 코드Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
https://github.com/wy1iu/sphereface
공식 코드https://github.com/xianhua-he/cvpr2024-face-anti-spoofing-challenge
공식 코드Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
https://github.com/xiaoboCASIA/SV-X-Softmax
공식 코드https://github.com/xinqi-fan/ABAW2021
공식 코드Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos
https://github.com/xiyinmsu/MultiTask-CNN
공식 코드Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
https://github.com/ya332/robust_sleepnets
공식 코드https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.