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/GitHberChen/FCN-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/Gitgigabyte/mmd

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/Gitgigabyte/mmdetection_

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/GiulioFischietti/Tirocinio

YOLOv3: An Incremental Improvement

https://github.com/GivralNguyen/-Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU-

Receptive Field Block Net for Accurate and Fast Object Detection

https://github.com/GivralNguyen/Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU

Receptive Field Block Net for Accurate and Fast Object Detection

https://github.com/Glp91/fire-detection

Deep Residual Learning for Image Recognition

https://github.com/GodofCCode/yolo3

YOLOv3: An Incremental Improvement

https://github.com/Godofnothing/EfficientObjectDetection

Efficient Object Detection in Large Images using Deep Reinforcement Learning

https://github.com/Gojay001/toolkit-DeepLearning

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/GordonnW/ShuffleNetV1

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

https://github.com/Graylab/deepH3-distances-orientations

Deep Residual Learning for Image Recognition

https://github.com/GregorKobsik/Octree-Transformer

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

https://github.com/Guanghan/CenterNet-Gluon

Objects as Points

https://github.com/Guanghan/ROLO

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

https://github.com/Guanghan/mxnet-centernet

Objects as Points

https://github.com/GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

https://github.com/Gugan0905/steel-defect-detection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/Guillem96/efficient-net-tf

Focal Loss for Dense Object Detection

https://github.com/Guillem96/efficientdet-tf

Focal Loss for Dense Object Detection

https://github.com/Guillem96/ssd-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/GunjanChourasia/custom_detector_yolov3

YOLOv3: An Incremental Improvement

https://github.com/GuoLiuFang/maskrcnn-benchmark-lfs

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

https://github.com/GuoQuanhao/EfficientDet-Paddle

EfficientDet: Scalable and Efficient Object Detection

https://github.com/GuoQuanhao/ScaledYOLOv4-Paddle

Scaled-YOLOv4: Scaling Cross Stage Partial Network

https://github.com/GuoQuanhao/YOLOv4-Paddle

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Gus-Guo/AugFPN

AugFPN: Improving Multi-scale Feature Learning for Object Detection

https://github.com/HAOCHENYE/yehc_mmdet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/HCPLab-SYSU/SR

Dual-Glance Model for Deciphering Social Relationships

https://github.com/HHTseng/video-classification

Deep Residual Learning for Image Recognition

https://github.com/HHY-ZJU/Unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/HO4X/TSR_JetsonTX2

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/HRNet/HRNet-FCOS

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/HRNet/HRNet-Facial-Landmark-Detection

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Human-Pose-Estimation

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Image-Classification

Deep High-Resolution Representation Learning for Human Pose Estimation

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