YOLO9000: Better, Faster, Stronger

@article{Redmon2017YOLO9000BF,
  title={YOLO9000: Better, Faster, Stronger},
  author={Joseph Redmon and Ali Farhadi},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  pages={6517-6525}
}
We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prior work. The improved model, YOLOv2, is state-of-the-art on standard detection tasks like PASCAL VOC and COCO. Using a novel, multi-scale training method the same YOLOv2 model can run at varying sizes, offering an easy tradeoff between speed and accuracy. At 67 FPS, YOLOv2 gets… CONTINUE READING
Highly Influential
This paper has highly influenced 205 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,352 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 205 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 821 extracted citations

Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift

2018 IEEE International Conference on Robotics and Automation (ICRA) • 2018
View 4 Excerpts
Highly Influenced

Crowd Counting via Scale-Adaptive Convolutional Neural Network

2018 IEEE Winter Conference on Applications of Computer Vision (WACV) • 2018
View 7 Excerpts
Highly Influenced

DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing

2018 IEEE 26th International Conference on Network Protocols (ICNP) • 2018
View 18 Excerpts
Highly Influenced

Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos

2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) • 2018
View 5 Excerpts
Highly Influenced

1,353 Citations

050010002016201720182019
Citations per Year
Semantic Scholar estimates that this publication has 1,353 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 21 references

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 7 Excerpts
Highly Influenced

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

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2015
View 7 Excerpts
Highly Influenced

Fast R-CNN

2015 IEEE International Conference on Computer Vision (ICCV) • 2015
View 5 Excerpts
Highly Influenced

Darknet: Open source neural networks in c. http://pjreddie.com/darknet/, 2013–2016

J. Redmon
2016
View 1 Excerpt

Deep Residual Learning for Image Recognition

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

Similar Papers

Loading similar papers…