AI RESEARCH
MDS-DETR: DETR with Masked Duplicate Suppressor
arXiv CS.CV
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ArXi:2605.23507v1 Announce Type: new The DEtection TRansformer (DETR) is a powerful end-to-end object detector, yet its one-to-one matching strategy suffers from slow convergence and low recall. A common approach to address this issue is to use one-to-many label assignment to provide positive samples. However, existing methods that use one-to-many matching as an auxiliary objective lead to increased