Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

2

보존된 평가 기록

3

코드

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

https://github.com/evtimovi/foggysight

FoggySight: A Scheme for Facial Lookup Privacy

https://github.com/ewinata/CIFAR-10

Deep Residual Learning for Image Recognition

https://github.com/fL0n9/SKFAC-MindSpore

Deep Residual Learning for Image Recognition

https://github.com/fabioasdias/ubao

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/fabiofumarola/ultrayolo

Deep Residual Learning for Image Recognition

https://github.com/fabxy/accessibilityCV

Deep Residual Learning for Image Recognition

https://github.com/facebook/fb.resnet.torch

Deep Residual Learning for Image Recognition

https://github.com/facebookarchive/fb.resnet.torch

Deep Residual Learning for Image Recognition

https://github.com/facebookresearch/DomainBed

Deep Residual Learning for Image Recognition

https://github.com/facebookresearch/Horizon

Continuous control with deep reinforcement learning

https://github.com/facebookresearch/ReAgent

Proximal Policy Optimization Algorithms

https://github.com/facebookresearch/denoised_mdp

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/facebookresearch/detectron2

Focal Loss for Dense Object Detection

https://github.com/facebookresearch/disentangling-correlated-factors

Deep Learning Face Attributes in the Wild

https://github.com/facebookresearch/gwil

Cross-Domain Imitation Learning via Optimal Transport

https://github.com/facebookresearch/hiera

Deep Residual Learning for Image Recognition

https://github.com/facebookresearch/pycls

Deep Residual Learning for Image Recognition

https://github.com/facebookresearch/pytext

A Structured Self-attentive Sentence Embedding

https://github.com/facebookresearch/pytorch_GAN_zoo

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

https://github.com/facebookresearch/rl

Smooth Exploration for Robotic Reinforcement Learning

https://github.com/facebookresearch/rl/blob/main/examples/ddpg/ddpg.py

Continuous control with deep reinforcement learning

https://github.com/facebookresearch/rl/blob/main/examples/sac/sac.py

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

https://github.com/facebookresearch/slbo

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

https://github.com/facebookresearch/stochastic_gradient_push

Deep Residual Learning for Image Recognition

https://github.com/facebookresearch/supervision-by-registration

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

https://github.com/facundoq/transformational_measures_experiments

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/faddey-w/face-swap

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

https://github.com/fangzong12/FeatherNet

FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing

https://github.com/faridSam/srn

Selective Refinement Network for High Performance Face Detection

https://github.com/farinamatteo/zero

Learning to Prompt for Vision-Language Models

https://github.com/fastai/fastai

Deep Residual Learning for Image Recognition

https://github.com/fbplab/MEBeauty-database

https://github.com/fchollet/deep-learning-models

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/fdcl-gwu/gym-rotor

Continuous control with deep reinforcement learning

https://github.com/feidfoe/AdjustBnd4Imbalance

Focal Loss for Dense Object Detection

https://github.com/feiyunzhang/person_attribute_mxnet

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

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