https://github.com/bryandlee/FreezeG
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
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/bubbliiiing/retinaface-keras
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/buptdbj/darknet-windows-linux
https://github.com/busyboxs/Some-resources-useful-for-me
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/bxz9200/ultraclean
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
https://github.com/caihaocong/Yolov3_AlexeyAB_Version
https://github.com/caihuaiguang/CHG-Shapley-for-Data-Selection
https://github.com/camel007/caffe-moon
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
https://github.com/cameronchoi/r3det-copy
https://github.com/canturan10/light_side
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/carlosb1/upc-aidl-19-team4
https://github.com/cat-claws/RobFace
https://github.com/cc-hpc-itwm/DeepFakeDetection
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/cchinchristopherj/Right-Whale-Unsupervised-Model
https://github.com/cecile-hi/regularized-adaptive-weight-modification
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
https://github.com/cedricoeldorf/ConditionalStyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/celsolbm/Attention_Text
https://github.com/celsolbm/imdb_sentiment_experiments
https://github.com/cem8301/EmotionDetector
https://github.com/cfl0122/face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/chamikara1986/BA-BAM
https://github.com/changsukim-ku/order-learning
https://github.com/chelvanai/Oneshot-Face-Identify
https://github.com/chengcv/J3S
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
https://github.com/chenggongliang/arcface
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/chenqiang19/vgg_real_app_age_regression
On the effect of age perception biases for real age regression
https://github.com/chenyeheng/SmartCar
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chinakook/hr101_mxnet
https://github.com/chinhau-lim/fer2013
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/chinhau-lim/fer_2013
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/choyingw/GD-HASLR
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
https://github.com/chrisqqq123/FA-Dist-EfficientNet
https://github.com/christy1206/STSTNet
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
https://github.com/chroniccrash/facestuff
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.