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cs.CV2026
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
Zhengjian Kang, Jun Zhuang, Kangtong Mo +3
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…
cs.CV2026
NuNext: Reframing Nucleus Detection as Next-Point Detection
Zhongyi Shui, Honglin Li, Xiaozhong Ji +7
Nucleus detection in histopathology is pivotal for a wide range of clinical applications. Existing approaches either regress nuclear proxy maps that require complex post-processing…