BWhat changed
Jointly trained one-to-many and one-to-one detection heads with consistent matching, discarding the former at inference, alongside component-level efficiency design.
Scientific scope
Jointly trained one-to-many and one-to-one detection heads with consistent matching, discarding the former at inference, alongside component-level efficiency design. Inherits YOLO features and earlier one-to-one/end-to-end detection. Removing NMS does not remove all preprocessing, device-transfer or deployment costs. Different model scales are not separate achievements, and source benchmark advantages depend on export/runtime settings.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits YOLO features and earlier one-to-one/end-to-end detection. Removing NMS does not remove all preprocessing, device-transfer or deployment costs. Different model scales are not separate achievements, and source benchmark advantages depend on export/runtime settings.
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.
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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