Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/chandar-lab/LoCA2

Learning Latent Dynamics for Planning from Pixels

https://github.com/changmin-yu/Prediction_and_Generalisation_over_Directed_Actions_by_Grid_Cells

Prediction and Generalisation over Directed Actions by Grid Cells

https://github.com/changsukim-ku/order-learning

https://github.com/charlesq34/pointnet

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

https://github.com/chayanchatterjee/cbc-skynet

Deep Residual Learning for Image Recognition

https://github.com/chayanchatterjee/gw-skylocator

Deep Residual Learning for Image Recognition

https://github.com/chelvanai/Oneshot-Face-Identify

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

https://github.com/chengcv/J3S

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

https://github.com/chenggongliang/arcface

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

https://github.com/chenqiang19/vgg_real_app_age_regression

On the effect of age perception biases for real age regression

https://github.com/chenyeheng/SmartCar

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/chenyeheng/SmartCar-FaceRec

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/chenyeheng/SmartCar-FaceRecognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/chinakook/hr101_mxnet

Finding Tiny Faces

https://github.com/chinganc/lightatac

Adversarially Trained Actor Critic for Offline Reinforcement Learning

https://github.com/chinhau-lim/fer2013

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

https://github.com/chinhau-lim/fer_2013

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

https://github.com/chldydgh4687/2020-1.VideoCaptioning

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/chosj95/PFPNet.pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/choyingw/GD-HASLR

Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction

https://github.com/chrhenning/hypercl

Deep Residual Learning for Image Recognition

https://github.com/chrisqqq123/FA-Dist-EfficientNet

Additive Margin Softmax for Face Verification

https://github.com/christy1206/STSTNet

Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition

https://github.com/chroniccrash/facestuff

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/cindycia/Atari-SAC-Discrete

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

https://github.com/cindyloo/rockstar-ai

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/cipher982/ppo-exploration

Proximal Policy Optimization Algorithms

https://github.com/civilman628/pgan

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

https://github.com/cj-mclaughlin/segmentation_research

Deep Residual Learning for Image Recognition

https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ck37/coral-ordinal

Rank consistent ordinal regression for neural networks with application to age estimation

https://github.com/ckapoor7/DeXpression

DeXpression: Deep Convolutional Neural Network for Expression Recognition

https://github.com/clairehester/face-mask-detector

Deep Learning Framework to Detect Face Masks from Video Footage

https://github.com/claudeHifly/BipedalWalker-v3

Continuous control with deep reinforcement learning

https://github.com/claushofmann/GAN-game-art

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

https://github.com/clcarwin/sphereface

SphereFace: Deep Hypersphere Embedding for Face Recognition

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