https://github.com/SeungyounShin/EXTD
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/ShaharrHorn/Detection-Game-logic
https://github.com/ShaojieJiang/tldr
https://github.com/ShawnDing1994/AOFP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/ShawnNew/shape-alpha-matting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ShenYujun/InterFaceGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ShiqiYu/libfacedetection
https://github.com/Shivamt99/Capstone_Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Shraddha2013/customyolo
https://github.com/Shraddha2013/darknett
https://github.com/Shraddha2013/darknetyol
https://github.com/Shraddha2013/darknetyolo
https://github.com/Shraddha2013/darknetyolo3
https://github.com/Shraddha2013/mydarknetyolo
https://github.com/Shraddha2013/myfileyolo
https://github.com/ShutoAraki/EverybodyDanceNow-Temporal-FaceGAN
https://github.com/ShuvenduBikash/transformer_spelling_corrector
https://github.com/ShuvenduRoy/FER_TL_PipelineTraining
https://github.com/SiHaoShen/Convolutional-Neural-Networks
https://github.com/SilentFalls/tog
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
https://github.com/SimonLliu/CSS_and_up_term
One-shot Face Recognition by Promoting Underrepresented Classes
https://github.com/SimonZsx/nasproj
https://github.com/SiskonEmilia/StyleGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/SmartEngines/stoppers_modelling
MIDV-2019: Challenges of the modern mobile-based document OCR
https://github.com/SoftwareGift/FeatheNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
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/SohamSarfare/ADS
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Soldie/DeOldify-colorir-imagens-antigas
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Soldie/insightface-Rec.Face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/SongJieLiu/pfld
https://github.com/SonyCSLParis/DrumGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Speacer/Super-Resolution-Generative-Adversarial-Networks
https://github.com/SpikeKing/Gaze4Landmarks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.