https://github.com/mindspore-ai/models/blob/master/research/cv/retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
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/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152
https://github.com/mindspore-ai/models/tree/master/official/cv/centerface
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet50_quant
https://github.com/mindspore-ai/models/tree/master/official/cv/resnet_thor
https://github.com/mindspore-ai/models/tree/master/official/cv/retinaface_resnet50
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/mindspore-ai/models/tree/master/official/cv/sphereface
https://github.com/mindspore-ai/models/tree/master/official/cv/vgg16
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/DeepID
https://github.com/mindspore-ai/models/tree/master/research/cv/ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/mindspore-ai/models/tree/master/research/cv/FaceAttribute
https://github.com/mindspore-ai/models/tree/master/research/cv/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/mindspore-ai/models/tree/master/research/cv/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/vgg19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/resnet.py
https://github.com/mindspore-courses/MindSpore-classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mindspore-courses/heads-on-mindspore/tree/main/1-best-practice/models
https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/resnet.py
https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/vgg.py
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mindspore-lab/mindone
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/mingxingtan/efficientnet
https://github.com/minhdua/PHONES
https://github.com/minhncedutw/pointnet1_keras
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/minoring/PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
https://github.com/minoring/nin-tf2
https://github.com/minus31/BlazeFace
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/minzwon/tag-based-music-retrieval
https://github.com/mjhucla/TF-mRNN
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mjhucla/mRNN-CR
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mjoannou/audiovisual-moments-in-time
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/mkocabas/focal-loss-keras
https://github.com/mkonuk66/EfficientFER
https://github.com/mktoid/made-thousand-facial-landmarks
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
https://github.com/mlaskowski17/Pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.