You Only Look Once: Unified, Real-Time Object Detection. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 779–788. IEEE. ![You Only Look Once: Unified, Real-Time Object Detection [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance.
@inproceedings{yolo,
title = {You {{Only Look Once}}: {{Unified}}, {{Real-Time Object Detection}}},
shorttitle = {You {{Only Look Once}}},
booktitle = {2016 {{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
author = {Redmon, Joseph and Divvala, Santosh and Girshick, Ross and Farhadi, Ali},
date = {2016-06},
pages = {779--788},
publisher = {{IEEE}},
location = {{Las Vegas, NV, USA}},
doi = {10.1109/CVPR.2016.91},
url = {http://ieeexplore.ieee.org/document/7780460/},
urldate = {2023-11-23},
abstract = {We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance.},
eventtitle = {2016 {{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
isbn = {978-1-4673-8851-1},
langid = {english},
file = {/Users/unaiaguinaco/Zotero/storage/94GVCSQF/Redmon et al. - 2016 - You Only Look Once Unified, Real-Time Object Dete.pdf}
}
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