Papers with Code 아카이브

2D Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

27

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/Rintarooo/PSPNet

Pyramid Scene Parsing Network

https://github.com/RiplleYang/DenseFusion

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/RishiTejaMadduri/VoxelNet_PyTorch

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/Rishit-dagli/Greenathon-Plant-AI

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/Ritam9/CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/Ritik-Sharma38/YoloV3_training_Hands

YOLO9000: Better, Faster, Stronger

https://github.com/RituYadav92/Image-segmentation

Pyramid Scene Parsing Network

https://github.com/RoadoneP/aloha

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

https://github.com/RobbertBrand/Yolo-Tensorflow-Implementation

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/RobertHong1992/Resnest

ResNeSt: Split-Attention Networks

https://github.com/Robinatp/Deeplab_Tensorflow

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/RobotMobile/cv-deep-learning-paper-review

Deep Residual Learning for Image Recognition

https://github.com/RocketFlash/CAP_augmentation

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

https://github.com/Rohed/ml-1

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/RongKaiWeskerMA/INSTA

Prototypical Networks for Few-shot Learning

https://github.com/RooKichenn/CEFPN

CE-FPN: Enhancing Channel Information for Object Detection

https://github.com/RooKichenn/pytorch-MOAT

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

https://github.com/RooKichenn/pytorch-MaxViT

MaxViT: Multi-Axis Vision Transformer

https://github.com/Rosie-Brigham/sesmeg

Pyramid Scene Parsing Network

https://github.com/RoyaSabbagh/mobile_manipulation_planning

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/Roypic/Attention_Code

Squeeze-and-Excitation Networks

https://github.com/RuiZhou-cn/U3HS

Segmenting Known Objects and Unseen Unknowns without Prior Knowledge

https://github.com/RuiminChen/GIou_loss_caffe

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

https://github.com/RuiminChen/GIouloss_CIouloss_caffe

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

https://github.com/RuiminChen/centernet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/Runinho/pytorch-cutpaste

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

https://github.com/Runist/torch_maml

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/RuoyuChen10/objectdetection-saliency-maps

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/Ryan0v0/Google_ML_Camp

Multi-Content GAN for Few-Shot Font Style Transfer

https://github.com/RyanWu2233/Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/RyanXingQL/RBQE

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

https://github.com/RyotaImai/-Keras-Image2StyleGAN-

Image2StyleGAN++: How to Edit the Embedded Images?

https://github.com/S-aiueo32/dni-demo

Deep Network Interpolation for Continuous Imagery Effect Transition

https://github.com/S-aiueo32/srntt-pytorch

Image Super-Resolution by Neural Texture Transfer

https://github.com/SAIGANESH-Collab/DARKNET

YOLOv3: An Incremental Improvement

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