Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/JWMON/yolo

YOLOv3: An Incremental Improvement

https://github.com/JWuzyk/CudaVisionProject

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/JXingZhao/ContrastPrior

https://github.com/JXingZhao/EGNet

https://github.com/JZPeterPan/k-gin

Disentangled Non-Local Neural Networks

https://github.com/Jack-Etheredge/Brain-Tumor-Segmentation-3D-UNet-CNN

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Jackey9797/FCN

Fully Convolutional Networks for Semantic Segmentation

https://github.com/Jacky-Android/convnext-v2-pytorch

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

https://github.com/JacobM184/EfficientNet-for-Gun-detection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/JagadishSivakumar/GlobalWheatDetection

EfficientDet: Scalable and Efficient Object Detection

https://github.com/JagadishSivakumar/Image-Classifier-ml5.js

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/JaidedAI/EasyOCR

Deep Residual Learning for Image Recognition

https://github.com/Jakaria08/EESRGAN

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

https://github.com/Jakaria08/F-EESRGAN

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

https://github.com/JakobGroeftehauge/BachelorProject

Objects as Points

https://github.com/JakobGroeftehauge/Brick-Pose-Estimation

Objects as Points

https://github.com/JakobKallestad/InceptionV3-on-plankton-images

Going Deeper with Convolutions

https://github.com/James-Gilbert-/medical-deep-learning

Deep Residual Learning for Image Recognition

https://github.com/James-Gilbert-/pneumonia-detection

Deep Residual Learning for Image Recognition

https://github.com/Jamie725/Multimodal-Object-Detection-via-Probabilistic-Ensembling

Multimodal Object Detection via Probabilistic Ensembling

https://github.com/JanMarcelKezmann/Residual-Network-Architectures

Deep Residual Learning for Image Recognition

https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models

Pyramid Scene Parsing Network

https://github.com/JanOPedersen/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Jangho-Kim/PSG-pytorch

Data-Free Quantization Through Weight Equalization and Bias Correction

https://github.com/Janghyeonwoong/Random-Erasing-Tensorflow2

Random Erasing Data Augmentation

https://github.com/Jarr0d/Human-Parsing-Network

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Jarvis73/Group_Normalization

Group Normalization

https://github.com/JaryHuang/awesome_SSD_FPN_GIoU

SSD: Single Shot MultiBox Detector

https://github.com/JasonLiTW/simple-railway-captcha-solver

Going Deeper with Convolutions

https://github.com/Jasonkks/mlcnet

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

https://github.com/Jasonlee1995/AutoAugment_Detection

Learning Data Augmentation Strategies for Object Detection

https://github.com/Jastot/Rodinka_Neural_Network

Going Deeper with Convolutions

https://github.com/JavierAntoran/pictocatcher

Going Deeper with Convolutions

https://github.com/JayPatwardhan/ResNet-PyTorch

Deep Residual Learning for Image Recognition

https://github.com/Jeffkang-94/pytorch-adversarial-attack

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/JennEYoon/Coursera-DLAI

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

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