Papers with Code 아카이브

3D Face Modelling

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

https://github.com/JoyLuo/face-attribute-recognition-paper-list

Deep Imbalanced Learning for Face Recognition and Attribute Prediction

https://github.com/JuanCasian/ML-Speech-Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/JulianHohenadel/I2Deep-Learning

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/KAIST-AILab/deeprl_practice_colab

Continuous control with deep reinforcement learning

https://github.com/KLT20/Realtime-Face-Emotion-Recognition

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

https://github.com/KSolves-ML/Face-Reco-Flask

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/KabirSingh114/DeepFake_Face_Detection

FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network

https://github.com/KaidongLi/tf-3d-alpha

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

https://github.com/Kailianghu/A-Structured-Self-Attentive-Sentence-Embedding

A Structured Self-attentive Sentence Embedding

https://github.com/KaimingHe/deep-residual-networks

Deep Residual Learning for Image Recognition

https://github.com/KaitavMehta95/Insight-Ganscape-Studio

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

https://github.com/Kaixhin/ACER

Sample Efficient Actor-Critic with Experience Replay

https://github.com/Kaixhin/PlaNet

Learning Latent Dynamics for Planning from Pixels

https://github.com/Kaixhin/imitation-learning

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

https://github.com/Kaixhin/spinning-up-basic

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

https://github.com/Kalyan0821/NST

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Kalyan0821/myelinfoundry-challenge

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/KarT1994/EmnistRecognizer

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Kareemcc/FaceMaskDetection

Masked Face Recognition Dataset and Application

https://github.com/KarimArmanious/Age-Net

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation

https://github.com/KarimaCha/CNN_Trust_Prediction

Deep Residual Learning for Image Recognition

https://github.com/KarlXing/RL-Visual-Continuous-Control

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Kasumigaoka-Utaha/Pytorch-implementation-of-DeepRegressionForests

Deep Regression Forests for Age Estimation

https://github.com/KatherineBaq/NMA-CN2021-fMRI_vs_DNNs

Deep Residual Learning for Image Recognition

https://github.com/KellerJordan/ResNet-PyTorch-CIFAR10

Deep Residual Learning for Image Recognition

https://github.com/KellyHwong/rethinking_generalization

Deep Residual Learning for Image Recognition

https://github.com/KelvinYang0320/deepbots-panda

Continuous control with deep reinforcement learning

https://github.com/Khrylx/PyTorch-RL

Proximal Policy Optimization Algorithms

https://github.com/KhusDM/PointNetTree

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

https://github.com/Kikumu/Reinforcement-Learning-repo

Continuous control with deep reinforcement learning

https://github.com/King-Otaku/Emotion_Recognition_DNN

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/KingBoyBIT/yolov3test

Focal Loss for Dense Object Detection

https://github.com/KiranAkadas/My_Pointnet_v2

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

https://github.com/KohMat/carracing-dreamer

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/KrenAnastasiya/face_recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

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