Papers with Code 아카이브

3D Face Modelling

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코드

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

https://github.com/agiachris/STAP

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/agrawalparth10/Face-is-the-Key

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/agutuyen-dev/darknet

Focal Loss for Dense Object Detection

https://github.com/ahhan02/darknet-alex

Focal Loss for Dense Object Detection

https://github.com/ahmad0790/svhn-multi-digit-address-recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ahmed-anas/thesis-pointnet

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

https://github.com/ahmed127011/RNDF

Facial age estimation by deep residual decision making

https://github.com/ahmedbesbes/whales-classification

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/ahmedbhna/VGG_Paper

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/ai-winter/python_motion_planning

Continuous control with deep reinforcement learning

https://github.com/aiinai/tf-insightface

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/aiiu-lab/dfd-fcg

Towards More General Video-based Deepfake Detection through Facial Feature Guided Adaptation for Foundation Model

https://github.com/ailab-pku/rl-framework

Continuous control with deep reinforcement learning

https://github.com/aimagelab/elsa_coco-fake

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

https://github.com/ainrichman/Peppa-Facial-Landmark-PyTorch

PFLD: A Practical Facial Landmark Detector

https://github.com/aj9011/Car-Speed-Prediction

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

https://github.com/ajaystar8/PDRUNet-PyTorch

Deep Residual Learning for Image Recognition

https://github.com/ajaysub110/rl-pytorch

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

https://github.com/ajertec/PointNetKeras

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

https://github.com/ajhamdi/AdvPC

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

https://github.com/ajinkyabedekar/Face-to-Emoji

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/ajithvallabai/getsetgo_keras-beginner

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/akamaster/pytorch_resnet_cifar10

Deep Residual Learning for Image Recognition

https://github.com/akanimax/T2F

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

https://github.com/akanimax/Variational_Discriminator_Bottleneck

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

https://github.com/akanimax/pro_gan_pytorch

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

https://github.com/akar5h/Image-Recognition-with-CNN-and-Transfer-Learning-ResNet101

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/akhadangi/EM-net

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/akirafukui/vqa-mcb

Compact Bilinear Pooling

https://github.com/akommini/Spoken-Numeric-Digit-detection

Deep Residual Learning for Image Recognition

https://github.com/akshaybahadur21/Facial-Recognition-using-Facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/akshayraghavan21/Face_Recognition_Using_Facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/alalagong/LEDNet

Deep Residual Learning for Image Recognition

https://github.com/alathiya/RL-Quadcoptor-Flying

Continuous control with deep reinforcement learning

https://github.com/albanie/mcnCrossModalEmotions

VGGFace2: A dataset for recognising faces across pose and age

https://github.com/albertomontesg/keras-model-zoo

Very Deep Convolutional Networks for Large-Scale Image Recognition

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