AI RESEARCH
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
arXiv CS.CV
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ArXi:2603.06917v1 Announce Type: new Detection Transformer (DETR) has redefined object detection by casting it as a set prediction task within an end-to-end framework. Despite its elegance, DETR and its variants still rely on fixed learnable queries and suffer from severe query utilization imbalance, which limits adaptability and leaves the model capacity underused. We propose PaQ-DETR (Pattern and Quality-Aware DETR), a unified framework that enhances both query adaptivity and supervision balance.