Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

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보존된 평가 기록

3

코드

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

https://github.com/WangChen0902/MTCNN-Paddle

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

https://github.com/WangChen0902/RetinaFace-Paddle

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/WangYueFt/dgcnn

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

https://github.com/Wangxy2180/darknetKinectDetect

Focal Loss for Dense Object Detection

https://github.com/Wastoon/TSAL

Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection

https://github.com/WeiHongLee/Learning-to-impute

Learning to Impute: A General Framework for Semi-supervised Learning

https://github.com/WeidiXie/Keras-VGGFace2-ResNet50

VGGFace2: A dataset for recognising faces across pose and age

https://github.com/Weijian-li/unsupervised_inter_intra_landmark

Structured Landmark Detection via Topology-Adapting Deep Graph Learning

https://github.com/WhiTExB3AR/Emotion_Diary

Facial Motion Prior Networks for Facial Expression Recognition

https://github.com/WhiTExB3AR/PreProduceCode-FMPN-FER

Facial Motion Prior Networks for Facial Expression Recognition

https://github.com/WilsonWangTHU/mbbl-metrpo

Model-Ensemble Trust-Region Policy Optimization

https://github.com/Windrill/Scenery-Video-GANs

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

https://github.com/Windrill/small-scene-video-GAN

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

https://github.com/WittmannF/quadcopter-best-practices

Continuous control with deep reinforcement learning

https://github.com/X3N4/car_racer

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/XgTu/2DASL

3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild

https://github.com/XgTu/2DASL-CNN

3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild

https://github.com/XiaXuehai/faceboxes

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

https://github.com/Xnsam/clothing_classification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/XuRen20/deepface

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/XuyangBai/D3Feat

Circle Loss: A Unified Perspective of Pair Similarity Optimization

https://github.com/YIZHE12/fashiontags

Focal Loss for Dense Object Detection

https://github.com/YIZHE12/robots

Focal Loss for Dense Object Detection

https://github.com/YYCAAA/V-MPO_Lunarlander

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

https://github.com/YanWei123/PointNet-encoder-and-FoldingNet-decoder-add-quantization-change-latent-code-size-from-512-to-1024

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

https://github.com/YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization

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

https://github.com/YanWei123/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti

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

https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/Yang2446/pointnet

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

https://github.com/YangRui2015/Modular_HER

Continuous control with deep reinforcement learning

https://github.com/YangYongJin/APEX

Learning to Prompt for Vision-Language Models

https://github.com/YanglanWang/classic_control

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/YanyingZH/srgan-esrgan-pytorch

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/YaoMarkMu/DRQTRANS

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

https://github.com/Yashgh7076/CPSC-8810-Project

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Yashgh7076/Eluvio-ML-Scene-Segmentation

Focal Loss for Dense Object Detection

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