Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
@article{Ren2015FasterRT, title={Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks}, author={Shaoqing Ren and Kaiming He and Ross B. Girshick and J. Sun}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2015}, volume={39}, pages={1137-1149} }
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. [...] Key Method An RPN is a fully convolutional network that simultaneously predicts object bounds and objectness scores at each position. The RPN is trained end-to-end to generate high-quality region proposals, which are used by Fast R-CNN for detection.Expand Abstract
Supplemental Content
Github Repo
Via Papers with Code
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Paper Mentions
News Article
Blog Post
Blog Post
Blog Post
News Article
News Article
20,976 Citations
Revisiting Faster R-CNN: A Deeper Look at Region Proposal Network
- Computer Science
- ICONIP
- 2017
- 5
- Highly Influenced
R-FCN: Object Detection via Region-based Fully Convolutional Networks
- Computer Science
- NIPS
- 2016
- 2,814
- PDF
Relief R-CNN: Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment
- Computer Science
- 2016
- Highly Influenced
- PDF
R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection
- Computer Science
- AAAI
- 2018
- 14
- Highly Influenced
BackNet: An Enhanced Backbone Network for Accurate Detection of Objects with Large Scale Variations
- Computer Science
- PSIVT
- 2019
Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection
- Computer Science
- ISNN
- 2017
- 7
- Highly Influenced
- PDF
Rich Features and Precise Localization with Region Proposal Network for Object Detection
- Computer Science
- CCBR
- 2017
- 5
- Highly Influenced
- PDF
Multi-scale Region Proposal Network Trained by Multi-domain Learning for Visual Object Tracking
- Computer Science
- ICONIP
- 2017
- 1
Atrous Faster R-CNN for Small Scale Object Detection
- Computer Science
- 2017 2nd International Conference on Multimedia and Image Processing (ICMIP)
- 2017
- 9
Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation
- Computer Science, Medicine
- IEEE Transactions on Neural Networks and Learning Systems
- 2020
- 5
- Highly Influenced
References
SHOWING 1-10 OF 55 REFERENCES
Scalable Object Detection Using Deep Neural Networks
- Computer Science, Mathematics
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 805
- PDF
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Computer Science
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 12,507
- PDF
Object Detection Networks on Convolutional Feature Maps
- Computer Science, Medicine
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2017
- 248
- PDF
Convolutional feature masking for joint object and stuff segmentation
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 335
- PDF
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization
- Computer Science
- ArXiv
- 2015
- 17
- PDF
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 778
- PDF