Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

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코드

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

https://github.com/EyaRhouma/collaboration-competition-MADDPG

Continuous control with deep reinforcement learning

https://github.com/FEIfei-coder/circle-loss-for-reid

Circle Loss: A Unified Perspective of Pair Similarity Optimization

https://github.com/FL77N/RetinaNet-Based-on-PPdet

Focal Loss for Dense Object Detection

https://github.com/FMArduini/python-rl

Proximal Policy Optimization Algorithms

https://github.com/FOCAL-ICLR/FOCAL-ICLR

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

https://github.com/Fable67/Streamlined-Off-Policy-Learning

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling

https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux

MesoNet: a Compact Facial Video Forgery Detection Network

https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Android

Learn Convolutional Neural Network for Face Anti-Spoofing

https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux

Improving Face Anti-Spoofing by 3D Virtual Synthesis

https://github.com/Faceplugin-ltd/FaceRecognition-Android

Learning Face Representation from Scratch

https://github.com/FairUnlearn/detoxai

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

https://github.com/FanjieLUO/matlab

PANDA: Pose Aligned Networks for Deep Attribute Modeling

https://github.com/FirstPotatoMan/TensorflowJS_ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/FlameRB/Face-Detection-using-Deep-Learning

Multi-view Face Detection Using Deep Convolutional Neural Networks

https://github.com/FloList/21cmGAN

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

https://github.com/FlyienSHaDOw/continuous_control

Continuous control with deep reinforcement learning

https://github.com/FlyienSHaDOw/project_2_continuous_control

Continuous control with deep reinforcement learning

https://github.com/Fragjacker/Pointcloud-grad-CAM

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

https://github.com/FrancescoSaverioZuppichini/ResNet

Deep Residual Learning for Image Recognition

https://github.com/FrancoisMasson1990/Siamese_Network

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Fugu-Lin/facenet_pytorch

Learning Face Representation from Scratch

https://github.com/FuxiCV/pt_mesh_renderer

Unsupervised Training for 3D Morphable Model Regression

https://github.com/GKalliatakis/Keras-VGG16-places365

Deep Residual Learning for Image Recognition

https://github.com/GOD-GOD-Autonomous-Vehicle/self-pointnet

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

https://github.com/GXU-GMU-MICCAI/PGAN-Paddle

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

https://github.com/GXYM/Focal-loss

Focal Loss for Dense Object Detection

https://github.com/GabrieleMonte/CoMBInE

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Gahyeonkim09/AAPL

Learning to Prompt for Vision-Language Models

https://github.com/GangmingZhao/GraphFPN-Graph-Feature-Pyramid-Network-for-Object-Detection

Focal Loss for Dense Object Detection

https://github.com/GauravPatel89/Car-Navigation-Simulation-using-TD3

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/GeorgeLekala/ML

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

https://github.com/GerardLiu96/FECNet

A Compact Embedding for Facial Expression Similarity

https://github.com/GiadaSimionato/Reasoning_Agents_2020

Proximal Policy Optimization Algorithms

https://github.com/GilLevi/AgeGenderDeepLearning

https://github.com/Glp91/fire-detection

Deep Residual Learning for Image Recognition

https://github.com/Godot-yry/VGG16_mindspore

Very Deep Convolutional Networks for Large-Scale Image Recognition

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