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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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/omarsayed7/Deep-Emotion

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

https://github.com/omidmn/Engagement-Recognition

Automatic Recognition of Student Engagement using Deep Learning and Facial Expression

https://github.com/omidnezami/Engagement-Recognition

Automatic Recognition of Student Engagement using Deep Learning and Facial Expression

https://github.com/omkarghugarkar007/Neural_Super_Sampling

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/omrijsharon/torchlex

On Complex Valued Convolutional Neural Networks

https://github.com/omron-sinicx/sbsfigures

PetFace: A Large-Scale Dataset and Benchmark for Animal Identification

https://github.com/ongyongzheng/generative_encoder

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

https://github.com/onion-liu/aahq-dataset

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

https://github.com/onwan946/DeepFaceLab

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/oorrppp2/darknet-pose

Focal Loss for Dense Object Detection

https://github.com/opeco17/pointnet

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

https://github.com/open-mmlab/mmclassification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/open-mmlab/mmdetection

Focal Loss for Dense Object Detection

https://github.com/open-mmlab/mmgeneration

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

https://github.com/open-mmlab/mmpose

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/open-mmlab/mmsegmentation

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/openai/rllab

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/openai/vime

VIME: Variational Information Maximizing Exploration

https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface

SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition

https://github.com/opendilab/DI-engine

Learning Continuous Control Policies by Stochastic Value Gradients

https://github.com/opendilab/DI-engine/blob/main/ding/policy/acer.py

Sample Efficient Actor-Critic with Experience Replay

https://github.com/opendilab/DI-engine/blob/main/ding/policy/d4pg.py

Distributed Distributional Deterministic Policy Gradients

https://github.com/opendilab/DI-engine/blob/main/ding/policy/sac.py

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

https://github.com/opendilab/DI-engine/blob/main/ding/policy/td3.py

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/opendilab/LightZero

Learning and Planning in Complex Action Spaces

https://github.com/openpsi-projects/srl

Proximal Policy Optimization Algorithms

https://github.com/oskyhn/CNNs-Without-Borders

Deep Residual Learning for Image Recognition

https://github.com/osmr/imgclsmob

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/oxygen0605/ImageClassification

Deep Residual Learning for Image Recognition

https://github.com/ozcell/gym_wmgds_ma

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

https://github.com/ozora-ogino/LCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://github.com/p0werweirdo/tagfcl

Compacting, Picking and Growing for Unforgetting Continual Learning

https://github.com/paarthneekhara/adversarialdeepfakes

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples

https://github.com/pacifinapacific/StyleGAN_LatentEditor

Interpreting the Latent Space of GANs for Semantic Face Editing

https://github.com/paddorch/SelfAttnSent.paddle

A Structured Self-attentive Sentence Embedding

https://github.com/papermsucode/2020bboxrestoration

Black-Box Face Recovery from Identity Features

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