Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/JHKim-snu/PGA

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

https://github.com/JHLee0513/Salt_detection_challenge

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/JHuang-CV/OD

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/JHuang-CV/mmdetectionV2

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/JIA-HONG-CHU/Swin-Transformer-add-EncNet-DaNet-DraNet-for-semantic-segmentation-on-Statelite-Dataset

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/JIHOO97/Image-Classification-Competition

Bag of Tricks for Image Classification with Convolutional Neural Networks

https://github.com/JKingKong/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/JKmopl-code/SiamFC

Fully-Convolutional Siamese Networks for Object Tracking

https://github.com/JONGSKY/paper

Deep Residual Learning for Image Recognition

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/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

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