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/donamin/llc

Proximal Policy Optimization Algorithms

https://github.com/donnyyou/pytorch-lffd

LFFD: A Light and Fast Face Detector for Edge Devices

https://github.com/donshen/pointnet.phasedetection

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

https://github.com/donydchen/ganimation_replicate

GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/doty-k/world_models

World Models

https://github.com/douglas125/SpeechIdentity

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/downingbots/RLDonkeycar

Proximal Policy Optimization Algorithms

https://github.com/dpoulopoulos/drl_collaborate_compete

Continuous control with deep reinforcement learning

https://github.com/dpoulopoulos/drl_continuous_control

Continuous control with deep reinforcement learning

https://github.com/dpressel/rude-carnie

https://github.com/drewbarot/Un-CNN

A General Framework for Adversarial Examples with Objectives

https://github.com/drhdr-user/drhdr

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

https://github.com/dsinghnegi/atari_RL_agent

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/dssbxx/k_labels_resnet50

Deep Residual Learning for Image Recognition

https://github.com/dthiagarajan/ptb-xl-research

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

https://github.com/dti-research/SenseAct

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

https://github.com/dtthi/darknetAlexeyAB

Focal Loss for Dense Object Detection

https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI

Deep Residual Learning for Image Recognition

https://github.com/ducongju/HRNet

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/dude123studios/SmarterRingV2

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/dvij542/offtersim

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

https://github.com/dvndra/face_recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/dwaithe/darknet3AB

Focal Loss for Dense Object Detection

https://github.com/dwtstore/sfm1

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

https://github.com/dyabel/handson_rl

Proximal Policy Optimization Algorithms

https://github.com/dyth/doublegum

Continuous control with deep reinforcement learning

https://github.com/e-solutions-GmbH/TensorFlow-iEVM

Exploring the Open World Using Incremental Extreme Value Machines

https://github.com/e0015274/darknet

Focal Loss for Dense Object Detection

https://github.com/e4s2022/e4s

Fine-Grained Face Swapping via Regional GAN Inversion

https://github.com/easternCar/Face-Parsing-Network

Generative Face Completion

https://github.com/edgarrt/custom_darknet

Focal Loss for Dense Object Detection

https://github.com/edmundmills/basalt-competition

IQ-Learn: Inverse soft-Q Learning for Imitation

https://github.com/edocollins/DFF

Deep Feature Factorization For Concept Discovery

https://github.com/edwardclem/deepscribe

Focal Loss for Dense Object Detection

https://github.com/eewindfly/facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/egeoguzman/Liveness-Detection-Siamese

Face Liveness Detection Based on Client Identity Using Siamese Network

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