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/vnbot2/arcface
https://github.com/vohoaiviet/sphereface
https://github.com/voqtuyen/CDCN-Face-Anti-Spoofing.pytorch
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
https://github.com/vuongtrannguyenkhoi/darknet
https://github.com/vuthede/heatmap-based-landmarker
https://github.com/vwegn/dm
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/w-sugar/prtr
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/w510056105/DeepLearning
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/wanderine/ProgressiveGAN3D
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/wangjk666/PyDeepFakeDet
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
https://github.com/wangshanmin/interface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.