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/StanislasBertrand/RetinaFace-tf2
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/StanislasBertrand/retinaface4j
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Stephenfang51/Focal_loss_turtorial
https://github.com/StevenBanama/C3AE
C3AE: Exploring the Limits of Compact Model for Age Estimation
https://github.com/Suaro/pidroid
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/Suci2609/generate_train_list.py-
https://github.com/SupratimH/neural-style-transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Surya9787/suryaprakash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Sushma07/dancedarknet
https://github.com/SuyashSonawane/fakedetector
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/Swybino/PotatoNet
https://github.com/TUM-ML-Lab18/FaceSwap
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Talgin/facerec
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TangrisJones/AI-dfa
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/Tao-Mind/QDD_Net
https://github.com/Taoudi/LotteryTicketHypothesis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Team-Neighborhood/awesome-face-detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Techyee/darknet_resource
https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Tencent/FaceDetection-DSFD
https://github.com/TencentYoutuResearch/Adv-Makeup
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
https://github.com/ThanasisMattas/smartflow
https://github.com/Thehunk1206/Covid-19-chest-X-ray
https://github.com/Thehunk1206/Covid-19-covidcnn
https://github.com/Thehunk1206/Zero-DCE
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow
https://github.com/ThomasWangY/2024-AAAI-HPT
https://github.com/ThrupthiAnn/ThrupthiAnn.github.io
https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING
https://github.com/TimoBolkart/BFM_to_FLAME
https://github.com/TimoBolkart/FLAME-Blender-Add-on
https://github.com/TimoBolkart/FLAME-Universe
https://github.com/TimoBolkart/TF_FLAME
https://github.com/TinDang97/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TinyZeaMays/CircleLoss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.