Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

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

https://github.com/coreylowman/rl_simply

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/corl-team/CORL

Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/cornell-zhang/allo-pldi24-artifact

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/coronnie/HouseGuard

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/cpow-89/Augmented-Random-Search

Simple random search provides a competitive approach to reinforcement learning

https://github.com/crazyleg/TD3-reacher

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/createamind/VDB-GAN

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

https://github.com/crishy1995/headnerf

3D Face From X: Learning Face Shape from Diverse Sources

https://github.com/cross32768/Dreamer_PyTorch

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/cross32768/PlaNet_PyTorch

Learning Latent Dynamics for Planning from Pixels

https://github.com/cryu854/ArbitraryStyle

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/cryu854/ArbitraryStyle-tfjs

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/cs-giung/FSRNet-pytorch

FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

https://github.com/csm-kr/Retinanet_pytorch

Focal Loss for Dense Object Detection

https://github.com/ctallec/world-models

World Models

https://github.com/cuguilke/microexpnet

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images

https://github.com/cuiziteng/iccv_maet

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/cuiziteng/maet

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/cviaai/PSF-GAN-ESTIMATION

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/cvqluu/Additive-Margin-Softmax-Loss-Pytorch

SphereFace: Deep Hypersphere Embedding for Face Recognition

https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

SphereFace: Deep Hypersphere Embedding for Face Recognition

https://github.com/cvtower/SeesawNet-pytorch-reimplement

SeesawFaceNets: sparse and robust face verification model for mobile platform

https://github.com/cvtower/SeesawNet_pytorch

SeesawFaceNets: sparse and robust face verification model for mobile platform

https://github.com/cvtower/seesawfacenet_pytorch

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

https://github.com/cydonia999/Tiny_Faces_in_Tensorflow

Can we still avoid automatic face detection?

https://github.com/cydonia999/VGGFace2-pytorch

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

https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/d3sm0/svg

Learning Continuous Control Policies by Stochastic Value Gradients

https://github.com/daimonae/Fundus-Image-Classification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/dakenan1/Everybody-Dance-Now

Everybody Dance Now

https://github.com/dalisson/am_softmax

Additive Margin Softmax for Face Verification

https://github.com/dan-lennox/ml-udacity-quadcopter-rl

Continuous control with deep reinforcement learning

https://github.com/danelee2601/rl-based-automatic-berthing

Proximal Policy Optimization Algorithms

https://github.com/danielamassiceti/CCA-visualdialogue

Deep Residual Learning for Image Recognition

https://github.com/danielparada1/RL_SpaceInvaders

Deep Residual Learning for Image Recognition

https://github.com/danmohaha/CVPRW2019_Face_Artifacts

Exposing DeepFake Videos By Detecting Face Warping Artifacts

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