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/the-super-toys/glimpse-models

Deep Residual Learning for Image Recognition

https://github.com/theSparta/off_policy_mujoco

Off-Policy Deep Reinforcement Learning without Exploration

https://github.com/thearod5/calorie-predictor

CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning

https://github.com/thenhz/progressive_growing_of_gan

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

https://github.com/thepowerfuldeez/facemesh.pytorch

Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

https://github.com/theresearchai/vehicle_routing_rl_2

Proximal Policy Optimization Algorithms

https://github.com/thomashirtz/pytorch-soft-actor-critic

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

https://github.com/thomashirtz/soft-actor-critic

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

https://github.com/thongdk8/realtime-facereccpp

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/thu-ml/realsafe

RobFR: Benchmarking Adversarial Robustness on Face Recognition

https://github.com/thughost2/Padam

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/thxsxth/POMDP_RLSepsis

Off-Policy Deep Reinforcement Learning without Exploration

https://github.com/tiagoCuervo/JapaNet

Deep Residual Learning for Image Recognition

https://github.com/tianhai123/yolov3

Focal Loss for Dense Object Detection

https://github.com/tidedra/vl-rlhf

Proximal Policy Optimization Algorithms

https://github.com/tilkb/thermoai

Continuous control with deep reinforcement learning

https://github.com/timesler/facenet-pytorch

Learning Face Representation from Scratch

https://github.com/timoklein/car_racer

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

https://github.com/timothylimyl/PointNet-Pytorch

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

https://github.com/timsainb/GAIA

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

https://github.com/tjcdev/mlpgym

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

https://github.com/tju-drl-lab/self-supervised-rl

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator

https://github.com/tkipf/gym-gridworld

CompILE: Compositional Imitation Learning and Execution

https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018

Training Region-based Object Detectors with Online Hard Example Mining

https://github.com/tliu1997/rnac

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

https://github.com/tmdgus1237/HelloWorld2018-2

Finding Tiny Faces

https://github.com/tmjeong1103/RL_with_RAY

Proximal Policy Optimization Algorithms

https://github.com/tobiasemrich/SchafkopfRL

Proximal Policy Optimization Algorithms

https://github.com/tomas-gajarsky/facetorch

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/tomasjakab/imm

Unsupervised Learning of Object Landmarks through Conditional Image Generation

https://github.com/tomaszsmaruj25/Twin-Delayed-DDPG-Implementation

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/tommyvsfu1/RL-NTU

Proximal Policy Optimization Algorithms

https://github.com/toni-sm/skrl

Continuous control with deep reinforcement learning

https://github.com/toshikwa/discor.pytorch

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

https://github.com/toshikwa/slac.pytorch

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

https://github.com/toshikwa/soft-actor-critic.pytorch

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

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