https://github.com/ongyongzheng/generative_encoder
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 26
- 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/onion-liu/aahq-dataset
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
https://github.com/onwan946/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/oorrppp2/darknet-pose
https://github.com/opeco17/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/open-mmlab/mmclassification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/open-mmlab/mmdetection
https://github.com/open-mmlab/mmgeneration
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/open-mmlab/mmpose
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/open-mmlab/mmsegmentation
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/oskyhn/CNNs-Without-Borders
https://github.com/osmr/imgclsmob
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/oxygen0605/ImageClassification
https://github.com/ozora-ogino/LCNN
https://github.com/p0werweirdo/tagfcl
Compacting, Picking and Growing for Unforgetting Continual Learning
https://github.com/paarthneekhara/adversarialdeepfakes
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
https://github.com/pacifinapacific/StyleGAN_LatentEditor
Interpreting the Latent Space of GANs for Semantic Face Editing
https://github.com/paddorch/SelfAttnSent.paddle
https://github.com/papermsucode/2020bboxrestoration
https://github.com/paperswithcode/paperswithcode-client
https://github.com/paradocx/LARNet
https://github.com/parthapratimbanik/facial-keypoint-detection-udacity-ppb
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/parvatijay2901/FaceNet_FR
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/parviagrawal/IdenProf
https://github.com/pasrichashivam/hyperface_deep_multi-task-learning_keras_implementation
https://github.com/pat-coady/tiny_imagenet
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/patelmiteshn/darknet
https://github.com/patientzero/timage-icann2019
https://github.com/patrick-batman/Angular-Knowledge-Distillation
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
https://github.com/patrick013/Image-Classification-CNN-and-VGG
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/paulblum00/ResNet-Recreation
https://github.com/paulorauber/nn
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pawelbeza/ClothesDetectorModel
https://github.com/pbaylies/stylegan-encoder
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pedrobvidal/insightface
Sample and Computation Redistribution for Efficient Face Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.