https://github.com/anshky/HR-NET
High-Resolution Representations for Labeling Pixels and Regions
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 평가표
- 0
- 보존된 평가 기록
- 0
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/anshu123priya/Real-v-s-Fake-Emotion-Challenge
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/anshu123priya/Real-vs-Fake-Emotion-Challenge
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/anuj-anuj/face-similarity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aobaruwa/TensorFlow-Projects
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aoru45/BasketNet
https://github.com/aoru45/Deep-Anomaly-Detection-for-Generalized-Face-Anti-Spoofing
https://github.com/aoru45/LFFD-Pytorch
https://github.com/apaz-cli/ML-ImageHash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/apisarek/gan_advances
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/aporw/Class-Attendance-Tool--Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aralhekimoglu/face
Sample and Computation Redistribution for Efficient Face Detection
https://github.com/arghadeep25/Face-Detection
https://github.com/ariel415el/ALAE
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ariel415el/SimplePytorch-ALAE
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/arkel23/Danbooru2018AnimeCharacterRecognitionDataset_Revamped
https://github.com/arsfutura/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/artemmavrin/focal-loss
https://github.com/arturjordao/arturjordao
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method
https://github.com/artxtech/darknet-rnn
https://github.com/artynet/darknet-alexeyAB
https://github.com/ashawkey/RAD-NeRF
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
https://github.com/ashokpant/video_processing_opencv_cpp
https://github.com/asmadotgh/unc-net
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/atom06/Tiny_Faces_in_Tensorflow_v2
https://github.com/audio-df-ucb/clonedvoicedetection
https://github.com/autonomousvision/frequency_bias
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/av-savchenko/emotiefflib
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
https://github.com/avishai111/One-Class-Learning-with-Adaptive-Centroid-Shift-for-Audio-Deepfake-Detection
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
https://github.com/avuku06/G
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
https://github.com/axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ayushpalak/darknet_cokebottles
https://github.com/ayushpalak/darknet_multi_cokebottles
https://github.com/azshue/TPT
https://github.com/b5071/pulse-rev
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/bakerv/fer-webcam
Facial Emotion Recognition: State of the Art Performance on FER2013
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.