https://github.com/1ho0jin1/osfi-by-finetuning
공식 코드Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Papers with Code 아카이브
Face Identification
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Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AlfredXiangWu/LightCNN
공식 코드https://github.com/AlfredXiangWu/face_verification_experiment
공식 코드https://github.com/HSE-asavchenko/face-emotion-recognition
공식 코드https://github.com/SheepBreedingLab-HZAU/LAD-RCNN
공식 코드LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
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/anguyen8/deepface-emd
공식 코드https://github.com/anguyen8/face-vit
공식 코드Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
https://github.com/arassadin/emotiw2017
공식 코드Group-level Emotion Recognition using Transfer Learning from Face Identification
https://github.com/barulalithb/stereo-angular-margin
공식 코드Improvising the Learning of Neural Networks on Hyperspherical Manifold
https://github.com/david-svitov/margindistillation
공식 코드https://github.com/deepinsight/insightface
공식 코드ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc
공식 코드Partial FC: Training 10 Million Identities on a Single Machine
https://github.com/dooleys/fr-nas
공식 코드Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
https://github.com/editable-ICLR2020/editable
공식 코드https://github.com/facebookresearch/detectron
공식 코드https://github.com/fengju514/Face-Pose-Net
공식 코드https://github.com/forget2save/campro
공식 코드https://github.com/grigorisg9gr/polynomial_nets
공식 코드https://github.com/happynear/AMSoftmax
공식 코드https://github.com/jung-jun-uk/unpg
공식 코드Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
https://github.com/kjanjua26/Git-Loss-For-Deep-Face-Recognition
공식 코드https://github.com/miliadis/FIRC
공식 코드Robust and Low-Rank Representation for Fast Face Identification with Occlusions
https://github.com/ppolon/dcp
공식 코드Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
https://github.com/raphaelmemmesheimer/sl-dml
공식 코드SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
https://github.com/seymayucer/facialphenotypes
공식 코드Measuring Hidden Bias within Face Recognition via Racial Phenotypes
https://github.com/shaibagon/large_scale_cc
공식 코드https://github.com/stevensmith2000/btnet
공식 코드Learning Unified Representations for Multi-Resolution Face Recognition
https://github.com/swordcheng/FCSR-GAN
공식 코드FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
https://github.com/thetna/medical_image_segmentation
공식 코드https://github.com/visym/keynet
공식 코드Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
https://github.com/wy1iu/sphereface
공식 코드https://github.com/xiaoboCASIA/SV-X-Softmax
공식 코드https://github.com/xtinkt/editable
공식 코드https://github.com/zma-c-137/VarGFaceNet
공식 코드https://worksheets.codalab.org/worksheets/0x7b8f6fbc6b5c49c18ac7ca94aafaa1a7
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.