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/demul/ResidualNet
https://github.com/dengpingfan/fsgan
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/denis19973/faceshifter_tornado
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/deontaepharr/Residual-Attention-Network
https://github.com/derek-baker/group3
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
https://github.com/detectionteamucas/retinanet_tensorflow
https://github.com/dhaalves/CEAL_keras
Cost-Effective Active Learning for Deep Image Classification
https://github.com/dheerajsingh7351/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/dhesenkamp/attentive-lstm
https://github.com/didi/AoE
SeesawFaceNets: sparse and robust face verification model for mobile platform
https://github.com/discipleofhamilton/RetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/dishen12/py03
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/divelab/vqa-text
https://github.com/djcustard/GestureGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/djwhsdj/vw-sdk
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/dl-maxwang/blazeface-tensorflow
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/dmizr/phuber
https://github.com/dmlc/gluon-nlp
https://github.com/dmonterom/face_recognition_TF2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/do4am/MultiviewFaceDetector
Multi-view Face Detection Using Deep Convolutional Neural Networks
https://github.com/doanmanhduy0210/ResearchPaperfacerecognitions
https://github.com/doantienthongbku/ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/doantienthongbku/Implementation-patchnet
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
https://github.com/donnyyou/pytorch-lffd
https://github.com/donydchen/ganimation_replicate
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/douglas125/SpeechIdentity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/dpressel/rude-carnie
https://github.com/drewbarot/Un-CNN
A General Framework for Adversarial Examples with Objectives
https://github.com/drhdr-user/drhdr
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/dssbxx/k_labels_resnet50
https://github.com/dthiagarajan/ptb-xl-research
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
https://github.com/dtthi/darknetAlexeyAB
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/ducongju/HRNet
High-Resolution Representations for Labeling Pixels and Regions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.