AI RESEARCH
Center-Aware Detection with Swin-based Co-DETR Framework for Cervical Cytology
arXiv CS.CV
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ArXi:2604.02090v1 Announce Type: new Automated analysis of Pap smear images is critical for cervical cancer screening but remains challenging due to dense cell distribution and complex morphology. In this paper, we present our winning solution for the RIVA Cervical Cytology Challenge, achieving 1st place in Track B and 2nd place in Track A. Our approach leverages a powerful baseline, integrating the Co-DINO framework with a Swin-Large backbone for robust multi-scale feature extraction.