You Only Look Once: Unified, Real-Time Object Detection
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- Ross Girshick
- Dates
- Published 2015-06-08 authorship evidence
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- You Only Look Once: Unified, Real-Time Object Detection arXiv · published 2015-06-08 · arXiv abstract page, retrieved for the candidate pack on 2026-10-28 (SHA-256 9ec17b526e97e9e856253a6aa65ea779b32c0cb97e2084d815293e22f3e98c8c). Submission history as arXiv records it (UTC): v1 8 June 2015; v2 9 June 2015; v3 11 June 2015; v4 12 November 2015; v5 9 May 2016. The page serves the latest version; each version is a separate expression, and only the one a record names was read.
- You Only Look Once: Unified, Real-Time Object Detection Crossref · published 2016 · Crossref record of the conference version: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 779-788 (DOI 10.1109/cvpr.2016.91), retrieved for the candidate pack on 2026-10-28. The date is the publisher-deposited date, kept at year precision; it was not checked against the issue.
- You Only Look Once: Unified, Real-Time Object Detection arXiv · published 2015-06-08 · arXiv:1506.02640v1, submitted 8 June 2015 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 3469e880a5401ee6d1a53dcfe61d912c130d2f42473cabcae275e51cfe457f09). The author list is the byline as printed on the first page.
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- In its own wordsThe paper presents YOLO, which it describes as a unified pipeline for object detection.“We present YOLO, a unified pipeline for object detection.” arXiv v1, PDF p. 1, abstract2015-06-08 · publication · Stated in source · Supported Inspect claim & evidence ↗
- In its own wordsThe authors state that, instead of repurposing classifiers, they frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities.“Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities.” arXiv v1, PDF p. 1, abstract2015-06-08 · publication · Stated in source · Supported Inspect claim & evidence ↗