https://github.com/wangshanmin/interface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/wangx404/script_for_downloading_IMDb_face
https://github.com/wangxianhao/Improved-YOLOv3-for-UAV
https://github.com/wangyuan249/Mymmt767
https://github.com/wanjinchang/MTCNN_USE_TF_E2E
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/wapping/FaceClassification
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/warnikchow/coaudiotext
https://github.com/wasilone11/ICPR-RIP-2024
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/waterdisappear/nudt4mstar
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/weihaox/Multi-Modal-CelebA-HQ-Dataset
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/wen227/Pokemon_Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/wenxinxu/resnet-in-tensorflow
https://github.com/wenxinxu/resnet_in_tensorflow
https://github.com/wfwf10/feature-based-federated-transfer-learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/williamccondori/YOLO-NFPA
https://github.com/willyfh/farl-face-segmentation
General Facial Representation Learning in a Visual-Linguistic Manner
https://github.com/willzli/bilstm_selfattention
https://github.com/winycg/MCL-OKD
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/witwickey/darknet
https://github.com/wjy5446/pytorch-everybody-dance-now
https://github.com/wkostuch/wild-style
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/wkq-wukaiqi/Face-X-Ray
https://github.com/woctezuma/SimSwap-colab
SimSwap: An Efficient Framework For High Fidelity Face Swapping
https://github.com/wodyjowski/colab-training
https://github.com/wondonghyeon/face-classification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/wondonghyeon/protest-detection-violence-estimation
https://github.com/wonsu0513/ros2_foxy_facial_expressions
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/woongjoonchoi/DeepLearningPaper-Reproducing/tree/master/Vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/wsjzha/deep-high-resolution-net.pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/wtomin/A-Multitask-Solution-for-FAU-EXPR-VA
https://github.com/wujiyang/Face_Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wujpbb7/caffe_circleloss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/wuqiyao20160118/mini_project-for-CIFAR10
https://github.com/wwhio/megmodels
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/xacheng1996/vfd
https://github.com/xalanq/chinese-sentiment-classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.