Redmon and colleagues: YOLO unified real-time object detection

What changed

Unified image-to-box/class prediction in one network with reported real-time operation.

Scientific scope

The record is the exact four-author CVPR 2016 paper and first YOLO formulation. Later YOLO versions, implementations and ownership lineages remain separate; the paper itself reports localization and small-object limitations.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact four-author CVPR 2016 paper and first YOLO formulation. Later YOLO versions, implementations and ownership lineages remain separate; the paper itself reports localization and small-object limitations.

Contributors

• Joseph Redmon · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Santosh Divvala · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Ross Girshick · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Ali Farhadi · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• CVPR record for You Only Look Once
• CVPR full paper for YOLO

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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