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/NACLab/robust-active-inference

Proximal Policy Optimization Algorithms

https://github.com/NASA-NeMO-Net/NeMO-Net

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/NJNischal/Facial-Expression-Recognition-with-CNNs

Challenges in Representation Learning: A report on three machine learning contests

https://github.com/NOHYC/autonomous_driving_car_project

Continuous control with deep reinforcement learning

https://github.com/NPilis/Facial-Expression-Recognition

Deep Facial Expression Recognition: A Survey

https://github.com/NVIDIA/UnsupervisedLandmarkLearning

Unsupervised Part-Based Disentangling of Object Shape and Appearance

https://github.com/NVIDIA/retinanet-examples

Deep Residual Learning for Image Recognition

https://github.com/NVlabs/SCOPS

SCOPS: Self-Supervised Co-Part Segmentation

https://github.com/Nacriema/Robust_Face_Recognition

Improving Shadow Suppression for Illumination Robust Face Recognition

https://github.com/Nanway/dfc-vae

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

https://github.com/Narsil/rl-baselines

Proximal Policy Optimization Algorithms

https://github.com/NathanHouwaart/EmotionRecognition

Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

https://github.com/Natty07/Deep_Learning

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/NeekHua/Pytorch_Retinaface_use_owner_data_test

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/Neilblaze/Adoptic

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

https://github.com/Neoanarika/torchexplainer

A Structured Self-attentive Sentence Embedding

https://github.com/NervanaSystems/coach

Continuous control with deep reinforcement learning

https://github.com/NetoPedro/VGGFace2-Test

VGGFace2: A dataset for recognising faces across pose and age

https://github.com/NickKaparinos/Google-Landmark-Recognition-2021

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/NikhitaMethwani/Deep-Fakes-Cars-Generation

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

https://github.com/NitinVishalKulkarni/OfflineReinforcementLearning

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

https://github.com/NoahBarrett98/ProgressiveGAN

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

https://github.com/Nordeus/heroic-rl

Proximal Policy Optimization Algorithms

https://github.com/NovasMax/R3Det-Refined-Single-Stage-Detector-with-Feature-Refinement-for-RO

Focal Loss for Dense Object Detection

https://github.com/Novemser/deep-imitation

Everybody Dance Now

https://github.com/NumericalAdvantage/ld-node-facedetector-2

Max-Margin Object Detection

https://github.com/OFRIN/Tensorflow_RetinaFace

Focal Loss for Dense Object Detection

https://github.com/OPAYA/Transformer

A Structured Self-attentive Sentence Embedding

https://github.com/ORB-HD/deface

CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/OUC-VAS/FacePoison

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection

https://github.com/OctThe16th/PPO-Keras

Proximal Policy Optimization Algorithms

https://github.com/OctopusMind/RLHF_PPO

Proximal Policy Optimization Algorithms

https://github.com/OlafenwaMoses/Action-Net

Deep Residual Learning for Image Recognition

https://github.com/OlafenwaMoses/IdenProf

Deep Residual Learning for Image Recognition

https://github.com/OlafenwaMoses/Traffic-Net

Deep Residual Learning for Image Recognition

https://github.com/Olayemiy/Image-Classification-With-Resnet

Deep Residual Learning for Image Recognition

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