https://github.com/reneang17/authorencoder
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/researchmm/SiamDW
https://github.com/respectableupstandinggentleman/test
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/rhero12/Slic
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/richaagrawa/Facial-Recognition-System
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/richardrl/cartpole-request-for-research
Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/richieyoum/Pneumonia-diagnosis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/richmondu/libfaceid
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rickyHong/tfRecord-Caltech256-repl2
https://github.com/rikichou/face_recognition_insight_face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/rikluost/RL_DQN_Pong
https://github.com/rishabh-vij/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rishabmallick/Sign-language-live-predictor
https://github.com/rizqiamaliatuss/PotatoLeafDiseaseClassification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rk1998/robot-sac
https://github.com/rll/rllab
Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/rlworkgroup/garage
Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/rmwkwok/product_visual_search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rnirdhar/yoloMultiClass
https://github.com/rnirdhar/yoloTestOneClass
https://github.com/rnradon/gender_emotion_classification
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/robertofranceschi/Image-classification-on-Caltech101-using-CNNs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/robintyh1/icml2021-pengqlambda
Addressing Function Approximation Error in Actor-Critic Methods
https://github.com/rockstar-0000/lip_sync_test
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/rohanbhutani1993/GeneratingDeepfakes
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohansuresh27/FaceNet_face_verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohith2506/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/rohithv/Grammatical-facial-expression-recognition
Grammatical facial expression recognition using customized deep neural network architecture
https://github.com/romaintha/pytorch_pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ronghuaiyang/arcface-pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ronny3050/AdvFaces
https://github.com/roomylee/self-attentive-emb-tf
https://github.com/roscibely/gender-prediction
Predicting Gender by First Name Using Character-level Machine Learning
https://github.com/roshankoirala/Fire_Detection_Model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rosinality/progressive-gan-pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/rowerliu/adbd
Progressive Growing of GANs for Improved Quality, Stability, and Variation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.