YOLOv2/YOLO9000 and YOLOv3: reusable priors and multi-scale detection

What changed

Extended the original YOLO detector with clustered dimension priors, bounded location prediction and joint detection/classification training; later combined residual features, multi-scale predictions and independent class scores.

Scientific scope

Extended the original YOLO detector with clustered dimension priors, bounded location prediction and joint detection/classification training; later combined residual features, multi-scale predictions and independent class scores. Original YOLO remains an inherited contribution. YOLO9000's broad class vocabulary is not equally accurate supervised localization for every class. v3 explicitly integrates earlier ideas and distinguishes AP50 from stricter localization metrics.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Original YOLO remains an inherited contribution. YOLO9000's broad class vocabulary is not equally accurate supervised localization for every class. v3 explicitly integrates earlier ideas and distinguishes AP50 from stricter localization metrics.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• YOLO9000: Better, Faster, Stronger
• YOLOv3: An Incremental Improvement

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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