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/Melo-Wang/Deep-Learning-on-Point-Cloud-of-Aerospace-Components-for-3D-Classification

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

https://github.com/MiX-S/resnet_cifar10

Deep Residual Learning for Image Recognition

https://github.com/MichaelWangfc/distributed-tensorflow-resnet

Deep Residual Learning for Image Recognition

https://github.com/Michaelrising/Prog-RL

Proximal Policy Optimization Algorithms

https://github.com/MilkSilk/masters_thesis

IQ-Learn: Inverse soft-Q Learning for Imitation

https://github.com/Mimigatto/face-mask-detection

MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

https://github.com/Mind23-2/MindCode-101/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-101/tree/main/LightCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/Mind23-2/MindCode-101/tree/main/MTCNN

Real-world adversarial attack on MTCNN face detection system

https://github.com/Mind23-2/MindCode-101/tree/main/MaskedFaceRecognition

Learning Meta Face Recognition in Unseen Domains

https://github.com/Mind23-2/MindCode-101/tree/main/lresnet100e_ir

Deep Residual Learning for Image Recognition

https://github.com/Mind23-2/MindCode-112

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

https://github.com/Mind23-2/MindCode-119

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Mind23-2/MindCode-13

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/Mind23-2/MindCode-14

CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/Mind23-2/MindCode-174

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

https://github.com/Mind23-2/MindCode-176

Focal Loss for Dense Object Detection

https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_seg

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Mind23-2/MindCode-3/tree/main/HiFaceGAN

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

https://github.com/Mind23-2/MindCode-3/tree/main/LightCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/Mind23-2/MindCode-3/tree/main/MTCNN

Real-world adversarial attack on MTCNN face detection system

https://github.com/Mind23-2/MindCode-3/tree/main/MaskedFaceRecognition

Learning Meta Face Recognition in Unseen Domains

https://github.com/Mind23-2/MindCode-3/tree/main/lresnet100e_ir

Deep Residual Learning for Image Recognition

https://github.com/Mind23-2/MindCode-31

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Mind23-2/MindCode-4/tree/main/hrnet

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-4/tree/main/vgg

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Mind23-2/MindCode-41

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

https://github.com/Mind23-2/MindCode-5/tree/main/PGAN

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

https://github.com/Mind23-2/MindCode-5/tree/main/PyramidBox

PyramidBox++: High Performance Detector for Finding Tiny Face

https://github.com/Mind23-2/MindCode-56

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/Mind23-2/MindCode-59

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Mind23-2/MindCode-63

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

https://github.com/Mind23-2/MindCode-67

Deep Residual Learning for Image Recognition

https://github.com/Mind23-2/MindCode-70

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Mind23-2/MindCode-71

RetinaFace: Single-stage Dense Face Localisation in the Wild

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