Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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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/AdrianVG194/cnn-hyperopt-fer2013

https://github.com/AemikaChow/DATASOURCE

Imbalanced Deep Learning by Minority Class Incremental Rectification

https://github.com/Afsaan/CNN-Architectures

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Aggrathon/MtGan

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

https://github.com/AgrawalAmey/safe-explorer

Continuous control with deep reinforcement learning

https://github.com/Agrover112/SiameseNet-Search

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/AlexHex7/DRML_pytorch

https://github.com/AlexZhaoZt/Temporal_Leap_HRL

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning

https://github.com/AlexandraFilimokhina/MountainCarConrinious_DDPG

Continuous control with deep reinforcement learning

https://github.com/AlexeiKaplenko/FaceShifter_mine

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

https://github.com/AlexeyAB/darknet

Focal Loss for Dense Object Detection

https://github.com/AlfredoZermini/PointNet

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

https://github.com/AlgoHunt/Face-Xray

Face X-ray for More General Face Forgery Detection

https://github.com/AliengirlLiv/xrl-dreamer

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/Alireza-Akhavan/face-quality-metrics

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation

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

https://github.com/AmirSh15/FECNet

VGGFace2: A dataset for recognising faces across pose and age

https://github.com/AmmarFayad/Behavioral-Actor-Critic

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

https://github.com/AmrElsersy/Emotions-Recognition

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/AmrElsersy/PFLD-Pytorch-Landmarks

PFLD: A Practical Facial Landmark Detector

https://github.com/AmrTarekk/Attendence-system-using-Facial-Recognition-

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Ananaskelly/TPE

Triplet Probabilistic Embedding for Face Verification and Clustering

https://github.com/Anaststam/Facial-Keypoints-detection

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/Ander02/FaceRecognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Anderies/stochastic-constant-pruninglayers

Deep Residual Learning for Image Recognition

https://github.com/AndreasWieg/PC-PGGAN

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

https://github.com/AndreiMoraru123/PointNet

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

https://github.com/AndrewJWashington/protodriver

Continuous Deep Q-Learning with Model-based Acceleration

https://github.com/Andribi/A2MF_AP

Multimodal Face Synthesis from Visual Attributes

https://github.com/AngeloManzatto/FacialKeypoints

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/AngusG/bn-advex-zhang-fixup

Deep Residual Learning for Image Recognition

https://github.com/Aniket7/VGGNet-CNN-architecture

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Anil1331/Facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/AnjanaGJoseph/Super-Resolution-GAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/AnshMittal1811/AugmentedRandomSearch

Simple random search provides a competitive approach to reinforcement learning

https://github.com/Anuranjan-Kumar/Face-Detection

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

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