Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

2

보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/2023-MindSpore-1/ms-code-18/tree/main/LightCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/2023-MindSpore-1/ms-code-18/tree/main/MaskedFaceRecognition

Learning Meta Face Recognition in Unseen Domains

https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lresnet100e_ir

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-201

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-208

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-210/tree/main/DDAG

Continuous control with deep reinforcement learning

https://github.com/2023-MindSpore-1/ms-code-211/tree/main/DeepID

DeepID3: Face Recognition with Very Deep Neural Networks

https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceAttribute

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceDetection

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceNet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HMR

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_seg

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HiFaceGAN

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

https://github.com/2023-MindSpore-1/ms-code-215/tree/main/PGAN

Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/PyramidBox

PyramidBox: A Context-assisted Single Shot Face Detector

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/ReIDStrongBaseline

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnet50_adv_pruning

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/retinanet_resnet101

Focal Loss for Dense Object Detection

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/retinanet_resnet152

Focal Loss for Dense Object Detection

https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet34

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet_34

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-22

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-223/tree/main/RetinaFace_ResNet50

Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search

https://github.com/2023-MindSpore-1/ms-code-223/tree/main/RetinaNet

Focal Loss for Dense Object Detection

https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

https://github.com/2023-MindSpore-1/ms-code-35

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/2023-MindSpore-1/ms-code-44

Focal Loss for Dense Object Detection

https://github.com/2023-MindSpore-1/ms-code-49

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/centerface

CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/centernet_resnet50_v1

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/2023-MindSpore-1/ms-code-7/tree/main/PointNet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/2023-MindSpore-4/Code-5/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/2023-MindSpore-4/Code-5/tree/main/HiFaceGAN

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

https://github.com/2023-MindSpore-4/Code-5/tree/main/LightCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/2023-MindSpore-4/Code-5/tree/main/MaskedFaceRecognition

Learning Meta Face Recognition in Unseen Domains

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.