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/alec-tschantz/vime

VIME: Variational Information Maximizing Exploration

https://github.com/alecfilios/Training-Intelligent-game-Agents-through-Competitive-Reinforcement-Learning

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/alecwangcq/KFAC-Pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/alex-f1tor/Image-Caption

Deep Residual Learning for Image Recognition

https://github.com/alex-petrenko/sample-factory

Proximal Policy Optimization Algorithms

https://github.com/alexattia/ExtendedTinyFaces

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/alexbaumi/PPO-Algorithm

Proximal Policy Optimization Algorithms

https://github.com/alexbaumi/PPO-Algorithms

Proximal Policy Optimization Algorithms

https://github.com/alexeyhorkin/ProGAN-PyTorch

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

https://github.com/alexis-jacq/numpy_ARS

Simple random search provides a competitive approach to reinforcement learning

https://github.com/alexlee-gk/slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

https://github.com/alexmlamb/blocks_rl_gru_setup

Proximal Policy Optimization Algorithms

https://github.com/alexsax/midlevel-reps

Deep Residual Learning for Image Recognition

https://github.com/alexwdong/IncubatorCVProject

Deep Residual Learning for Image Recognition

https://github.com/alfagao/DeOldify

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

https://github.com/alhabk/SGEE--pytorch

Continuous control with deep reinforcement learning

https://github.com/ali-stanford/pointnetcfd

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

https://github.com/ali-vilab/FlashFace

FlashFace: Human Image Personalization with High-fidelity Identity Preservation

https://github.com/alibaba/EasyCV

Deep Residual Learning for Image Recognition

https://github.com/alililia/ascend_ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/alililia/ascend_FaceAttribute

Deep Residual Learning for Image Recognition

https://github.com/alililia/ascend_HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/alililia/ascend_SE-Net

Deep Residual Learning for Image Recognition

https://github.com/alililia/ascend_sphereface

SphereFace: Deep Hypersphere Embedding for Face Recognition

https://github.com/alililia/gpu_sphereface

SphereFace: Deep Hypersphere Embedding for Face Recognition

https://github.com/alililia/ms_contrib/tree/main/ascend_vgg19

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/alililia/ms_contrib/tree/main/gpu_vgg19

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/alililia/ms_extend/tree/main/gpu_resnet

Deep Residual Learning for Image Recognition

https://github.com/alililia/ms_extend/tree/main/gpu_retinaface

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/alinlab/LfF

Learning from Failure: Training Debiased Classifier from Biased Classifier

https://github.com/aliprf/Ad-Corre

https://github.com/alirezakazemipour/ppo-rnd

Proximal Policy Optimization Algorithms

https://github.com/alisha17/benchmarks

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/alldbi/Factorized-Spatial-Embeddings

Unsupervised learning of object landmarks by factorized spatial embeddings

https://github.com/allenai/satlas-super-resolution

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/alpemek/ais3d

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

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