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/big-bombom/deepfake

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/bigaandsmallq/d3

D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy

https://github.com/billchan226/poar-srl-4-robot

Simple random search provides a competitive approach to reinforcement learning

https://github.com/bingxinhu/arcface

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/binhdv92/darknet

Focal Loss for Dense Object Detection

https://github.com/binhdv92/darknet_kriyeng

Focal Loss for Dense Object Detection

https://github.com/binjiezhang/RACT_ICLR2022

Towards Universal Backward-Compatible Representation Learning

https://github.com/bitterbloom/Reinforcement-Learning

Continuous control with deep reinforcement learning

https://github.com/biubug6/Pytorch_Retinaface

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/bleakie/RetinaDetection

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/bleakie/RetinaDetector

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/bmeyers/VirtualMicrogridSegmentation

Continuous control with deep reinforcement learning

https://github.com/bobby20180331/darknet_pycharm

Focal Loss for Dense Object Detection

https://github.com/bobetocalo/bobetocalo_eccv18

Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees

https://github.com/bobetocalo/bobetocalo_prl19

https://github.com/bogireddytejareddy/micro-expression-recognition

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

https://github.com/bonniesjli/PPO-Reacher_UnityML

Proximal Policy Optimization Algorithms

https://github.com/bonniesjli/PPO_Reacher

Proximal Policy Optimization Algorithms

https://github.com/borhanMorphy/fastface

LFFD: A Light and Fast Face Detector for Edge Devices

https://github.com/borhanMorphy/light-face-detection

LFFD: A Light and Fast Face Detector for Edge Devices

https://github.com/boris127/vehicle-detection

Deep Residual Learning for Image Recognition

https://github.com/boseaslcohort/youtube-8m

YouTube-8M: A Large-Scale Video Classification Benchmark

https://github.com/boukhayma/face_normals

Cross-modal Deep Face Normals with Deactivable Skip Connections

https://github.com/bovifocr/insightface

Sample and Computation Redistribution for Efficient Face Detection

https://github.com/brain-research/mirage-rl

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

https://github.com/brandontrabucco/efficient-hrl

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning

https://github.com/brendanmallery9/entropic-barycenters

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

https://github.com/bruceeeee/facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/bruinxiong/Evaluation_IJBA

A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion

https://github.com/brunocalogero/AMLSassignment

From Facial Parts Responses to Face Detection: A Deep Learning Approach

https://github.com/bryandlee/FreezeG

Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation

https://github.com/brycexu/MR-Residual-Net

Deep Residual Learning for Image Recognition

https://github.com/bstadie/third_person_im

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/bt77/pointnet

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

https://github.com/bubbliiiing/retinaface-keras

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/buoyancy99/sap

Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation

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