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

2

보존된 평가 기록

3

코드

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

https://github.com/simonlevine/clinical-longformer

Focal Loss for Dense Object Detection

https://github.com/simonzhan-code/step-wise_saferl_pixel

Learning Latent Dynamics for Planning from Pixels

https://github.com/sims-s/bird-gan

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

https://github.com/singh-shakti94/Deep-Learning-Project

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/siqueira-hc/Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

https://github.com/sirakik/mprg_fc

Proximal Policy Optimization Algorithms

https://github.com/sirakik/ppo_football

Proximal Policy Optimization Algorithms

https://github.com/sisl/event-driven-rllab

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/sisl/gail-driver

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/sitegui/ceci-nest-pas-un-chat

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/sithu31296/EasyFace

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/sithu31296/pose-estimation

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/siyuofzhou/DDPG

Continuous control with deep reinforcement learning

https://github.com/skbadhsm/darknet2

Focal Loss for Dense Object Detection

https://github.com/skkuse02/2019fall_41class_team8

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/skymanaditya1/FaceOff

FaceOff: A Video-to-Video Face Swapping System

https://github.com/slawekslex/ArcFace_Explained

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/sliao-mi-luku/DeepRL-multiple-agents-tennis-udacity-drlnd-p3

Continuous control with deep reinforcement learning

https://github.com/smc-x/ms-resnetv2

Deep Residual Learning for Image Recognition

https://github.com/smfirmin/DeepLearningFinalProject

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

https://github.com/smhall97/deep_dreaming_music

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/smj007/Breakout_A3C

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/smkim7-kr/toy-projects/tree/master/ArcFace-visualization

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/smu-ivpl/DeepfakeDetection

The DeepFake Detection Challenge (DFDC) Dataset

https://github.com/sobieskibj/rcsb

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

https://github.com/soccergame/darknet

Focal Loss for Dense Object Detection

https://github.com/solapark/da_yolo

Focal Loss for Dense Object Detection

https://github.com/solapark/darknet_interpark

Focal Loss for Dense Object Detection

https://github.com/solapark/darknet_partdet

Focal Loss for Dense Object Detection

https://github.com/solapark/darknet_partdet_tmp

Focal Loss for Dense Object Detection

https://github.com/songquanpeng/BlendGAN

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

https://github.com/songrotek/DDPG

Continuous control with deep reinforcement learning

https://github.com/soubhiksanyal/FLAME_PyTorch

https://github.com/soubhiksanyal/RingNet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

https://github.com/soubhiksanyal/now_evaluation

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

https://github.com/soumik12345/DDPG

Continuous control with deep reinforcement learning

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