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RT-DETR: hybrid multi-scale encoding and IoU-aware query selection

Contribution grade

Real-time object detection · Human-designed research method or resource

Reference score115,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Separated intra-scale attention from cross-scale fusion in a hybrid encoder and initialized decoder queries using IoU-aware selection, enabling a practical NMS-free detector with adjustable decoder depth.

Scientific scope

Separated intra-scale attention from cross-scale fusion in a hybrid encoder and initialized decoder queries using IoU-aware selection, enabling a practical NMS-free detector with adjustable decoder depth. Uses the original v1 IoU-aware formulation, not later uncertainty-minimal descriptions. Its end-to-end benchmark still excludes I/O and memory-copy operations and reports a specific NMS kernel convention. No universal first-real-time or all-device speed superiority is independently certified.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Uses the original v1 IoU-aware formulation, not later uncertainty-minimal descriptions. Its end-to-end benchmark still excludes I/O and memory-copy operations and reports a specific NMS kernel convention. No universal first-real-time or all-device speed superiority is independently certified.

Contributors

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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