https://github.com/pytorch/vision
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
Facial Recognition and Modelling
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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/qbxlvnf11/face-detection-MTCNN
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/qianjinhao/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/qiaoxiu/facenetRetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/qidiso/mobilefacenet-V2
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/qingyujean/Classification-on-imbalanced-data
https://github.com/quangson05dt1/keras_facenet_ver1
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/qubvel/efficientnet
https://github.com/qubvel/resnet_152
https://github.com/qvdang-dev/Facial-Recognition
https://github.com/qvdang-dev/Facial-Recognizance
https://github.com/rafaelmata357/Flower-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raferguson/CNN-Profile-Picture
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raghakot/keras-resnet
https://github.com/raguilar-f/Thermal-Face-Recognition-Using-Convolutional-Neural-Networks-and-Transfer-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raguilar-f/Thermal-face-recognition-using-transfer-learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rahowa/catboost_focal_loss
https://github.com/rahul-t-p/ASVspoof-2019
https://github.com/rahulchaurasiya1/cautious-waddle
https://github.com/rahuls02/Image-Noise-Reduction
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/rainofmine/Face_Attention_Network
https://github.com/raj-gupta1/Flower-Species-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raj-gupta1/Tomato-leaves-disease-Predictor
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rajatsahay/Pose2Pose
https://github.com/rajneeshaggarwal/google-efficientnet
https://github.com/ram-ch/RealTimeFaceRecognition
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/random-quark/progressive-gan-completion
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/rap-music/-
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/raspstephan/sugar-flower-fish-or-gravel
https://github.com/raulsteleac/Speech_Emotion_Recognition
Transfer Learning for Improving Speech Emotion Classification Accuracy
https://github.com/rdgozum/dexpression-pytorch
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/realmichaelye/Skin-Lesions-Classifier-ResNet50
https://github.com/rebeccagio/object_detection
https://github.com/redcaps-dataset/pytorch-retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/reneang17/authorencoder
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/researchmm/SiamDW
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.