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/King-Otaku/Emotion_Recognition_DNN
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/KingBoyBIT/yolov3test
https://github.com/KrenAnastasiya/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Krisztina-Sinkovics/IDcard-visibility-classifier
https://github.com/KuanLin999/Occlusion-Robust-Face-Recognition-Based-on-Mask-Learning-with-Pairwise-Differential-Siamese-Network
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
https://github.com/KumapowerLIU/DeFLOCNet
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
https://github.com/LIU1514/Yolov3-
https://github.com/LKLQQ/FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/LKLQQ/ssc_resnet50
https://github.com/Latope2-150/Progressive_Growing_of_GANs-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Ldpe2G/PCANet
PCANet: A Simple Deep Learning Baseline for Image Classification?
https://github.com/LeChangAlex/GAN-Metric
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/LeeRel1991/SFD
https://github.com/Lemoners/Attention-Is-All-You-Need
https://github.com/Lester1711/DSI15_Capstone
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch
https://github.com/Li-Chongyi/Zero-DCE_extension
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
https://github.com/LinRiver/Realtime_facedetection
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Little-Frog-233/imagecluster
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Lmath11/darknet
https://github.com/Lornatang/ESRGAN-PyTorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Lornatang/ResNet-PyTorch
https://github.com/Lornatang/tensorflow-vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/LostOxygen/poison_froggo
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/Lotayou/everybody_dance_now_pytorch
https://github.com/LuigiRussoDev/Covid19Detection
https://github.com/LuigiRussoDev/ResNets
https://github.com/M155K4R4/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MFajcik/RumourEval2019
https://github.com/MIC-DKFZ/DetectionAndRegression
https://github.com/MIC-DKFZ/RegRCNN
https://github.com/MNaplesDevelopment/DCGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MNaplesDevelopment/Deep-Convolutional-Generative-Adversarial-Networks
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MNaplesDevelopment/MNIST-DCGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/mixnet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.