https://github.com/vikramkarthikeyan/Face-R-FCN
Detecting Faces Using Region-based Fully Convolutional Networks
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/vill-lab/2024-aaai-hpt
https://github.com/vinairesearch/lemul
https://github.com/vinayakkailas/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/vincenthanna/facenet_on_mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vinx-2105/madgan-degan
https://github.com/vipermu/ganimation
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/visionNoob/hrnet_pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/vitoralbiero/face_analysis_pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vladimirwest/insightface_cinematic
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/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/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/weihaox/Multi-Modal-CelebA-HQ-Dataset
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
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/witwickey/darknet
https://github.com/wjy5446/pytorch-everybody-dance-now
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.