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/SonginCV/MAF_HDA

Mask R-CNN

https://github.com/SoonminHwang/rgbt-ped-detection

Multispectral Deep Neural Networks for Pedestrian Detection

https://github.com/Soren-Kierkegaard/MRI-Image-Analysis

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/SpaceNetChallenge/utilities

ImageNet Large Scale Visual Recognition Challenge

https://github.com/Spain2394/darknet

YOLOv3: An Incremental Improvement

https://github.com/SpanoChristian/darknet

YOLOv3: An Incremental Improvement

https://github.com/Spider-scnu/Instance-Segmentation-For-Cancer

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Spiideo/mmpose

https://github.com/SpikeKing/mobilenet_v3

Searching for MobileNetV3

https://github.com/SravanChittupalli/COVID-19-Mask_detector

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Srijan2001/Keypoint-regression

Real-time 3D Traffic Cone Detection for Autonomous Driving

https://github.com/Srinidhi-kv/Cancer_metastasis_detection

Detecting Cancer Metastases on Gigapixel Pathology Images

https://github.com/Ssong24/CenterNet_Custom

Objects as Points

https://github.com/StamatisKourkoutas/Brain_Tumor_Segmentation_US_Images

F3Net: Fusion, Feedback and Focus for Salient Object Detection

https://github.com/Stanch-LX/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/StanfordVL/MinkowskiEngine

Generative Sparse Detection Networks for 3D Single-shot Object Detection

https://github.com/Stepan-coder/HandWritenSignatureDetection

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

https://github.com/StephenEkaputra/Mask_RCNN-TinyPascalVOC

Mask R-CNN

https://github.com/StephenStorm/YOLOX

YOLOX: Exceeding YOLO Series in 2021

https://github.com/Stephenfang51/Focal_loss_turtorial

Focal Loss for Dense Object Detection

https://github.com/StevenBanama/Yolo-lite-Gesture

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

https://github.com/Stick-To/CenterNet-tensorflow

Objects as Points

https://github.com/StrikerCC/Teaser-plusplus-testing

TEASER: Fast and Certifiable Point Cloud Registration

https://github.com/Suaro/pidroid

Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

https://github.com/Suci2609/generate_train_list.py-

YOLO9000: Better, Faster, Stronger

https://github.com/Suhird/AirbusShipDetection

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Sujith2k/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/SunDoge/efficientnet-pytorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Sungman-Cho/Attend-and-Compare-Module

Learning Visual Context by Comparison

https://github.com/Sungman-Cho/Propagate-Yourself-Pytorch

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

https://github.com/SuperKam91/gns

Multimodal nested sampling: an efficient and robust alternative to MCMC methods for astronomical data analysis

https://github.com/SupreethN/Hand-CNN

Contextual Attention for Hand Detection in the Wild

https://github.com/Sushma07/dancedarknet

YOLO9000: Better, Faster, Stronger

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/SweetyTian/efficientdet

EfficientDet: Scalable and Efficient Object Detection

https://github.com/SyBorg91/pose-estimation-detection

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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