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/yjzhai-cs/vehicle-10
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/yoboget/CProGAN-ME
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/yoshitomo-matsubara/torchdistill
https://github.com/ypeleg/komplex
https://github.com/yqyao/ssd.pytorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ytsheng/sketch2cat-pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/yuanyuanli85/tf-hrnet
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/yubangji123/Interpret_FR
https://github.com/yudhisteer/Face-Recognition-with-Masks
https://github.com/yudie433/darknet
https://github.com/yuemenglong/deep-learning-copy
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/yueyongjiao/Transformer-Contextual
https://github.com/yueyongjiao/attention_is_all_you_need_pytorch
https://github.com/yuezunli/CVPRW2019_Face_Artifacts
Exposing DeepFake Videos By Detecting Face Warping Artifacts
https://github.com/yuezunli/WIFS2018_In_Ictu_Oculi
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/yufat48/pulpissimo
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/yujiacheng333/CircleLossMNIST
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/yukichou/PET
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/yuliani29/yolotraining
https://github.com/yuriak/PPDAI
https://github.com/yuval-alaluf/restyle-encoder
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/yuvalnirkin/face_segmentation
https://github.com/yuvrajarora/CSCI5922_Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/yuxiangalvin/DeepLOB-Model-Implementation-Project
https://github.com/yuzq97/starter_project
Interpreting the Latent Space of GANs for Semantic Face Editing
https://github.com/yw0nam/DenseNet
https://github.com/yxgeee/MMT
https://github.com/yxlijun/s3fd.pytorch
https://github.com/yxu0611/tensorflow-implementation-of-lcnn
https://github.com/yyfsXZ/structured_self_attention_sent_embedding
https://github.com/yyk-wew/F3Net
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/yytang2012/darknet
https://github.com/yzhou359/MakeItTalk
https://github.com/yzyouzhang/AIR-ASVspoof
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
https://github.com/zachzhu2016/Spectraface
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.