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

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보존된 평가 기록

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코드

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

https://github.com/a514514772/hijackgan

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

https://github.com/a736875071/clip-vit-large-patch14

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

https://github.com/aakashjhawar/traffic-sign-detection

Focal Loss for Dense Object Detection

https://github.com/aannirajpatel/COMP562-Face-Mask-Detect

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

https://github.com/aayushdD/Face_recognition-Keras-openface

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/aba450/Super-Resolution

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/abaietto/neural_ode_classification

Deep Residual Learning for Image Recognition

https://github.com/abbadka/quadcopter

Continuous control with deep reinforcement learning

https://github.com/abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds

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

https://github.com/abel-leulseged/Quick-Draw

Network In Network

https://github.com/abhi1kumar/hrnet_pose_single_gpu

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/abhi2610/ohem

Training Region-based Object Detectors with Online Hard Example Mining

https://github.com/abhiexo/Deep_Learning-2

Face Aging With Conditional Generative Adversarial Networks

https://github.com/abhiksingla/gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/abuchin/face_recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/abuchin/resnet_sign

Deep Residual Learning for Image Recognition

https://github.com/aby2s/sharpmask

Deep Residual Learning for Image Recognition

https://github.com/ac-93/soft-actor-critic

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

https://github.com/acnazarejr/fdet

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/acyclics/MPO

Maximum a Posteriori Policy Optimisation

https://github.com/adambielski/siamese-triplet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/adamos581/ppo-keras-football

Proximal Policy Optimization Algorithms

https://github.com/adaptive-intelligent-robotics/dcg-map-elites

Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization

https://github.com/adaptive-intelligent-robotics/pga-map-elites

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/adik993/ppo-pytorch

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/aditya26-09/Face_Recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/adityabingi/Dreamer

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/adjanni/Facial_Keypoints_Detection_w_CNN--Pytorch

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/adldotori/ResNet

Deep Residual Learning for Image Recognition

https://github.com/adldotori/pSp

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

https://github.com/adobe-research/MakeItTalk

MakeItTalk: Speaker-Aware Talking-Head Animation

https://github.com/adrialopezescoriza/demo3

TD-MPC2: Scalable, Robust World Models for Continuous Control

https://github.com/aejion/neuface

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

https://github.com/affromero/SMILE

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

https://github.com/afourast/avobjects

Self-Supervised Learning of Audio-Visual Objects from Video

https://github.com/afrazsalim/WebBasedGameWithNodeJs

VGGFace2: A dataset for recognising faces across pose and age

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