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Object Detection on SSDD (mAP)

97.3mAP@0.5RSTNet
93.6694.60595.5596.495Feb 27, 2026

Evaluation results

MethodLinks
RSTNet2026.0297.3—77.266.560.77574.9
DiffusionDetYear=2023 CVPR2026.0296.7—73.563.457.173.472.6
C-AFBiFPNYear=2025 arxiv2026.0296.1—77.66664.369.562.5
FCOSYear=2019 CVPR2026.0295.9—74.163.258.771.173.6
YOLOv8Year=2023 github2026.0295.9—72.563.258.872.258.4
YOLOv10Year=2024 arxiv2026.0295.1—70.360.857.169.356.4
SSDYear=2016 ECCV2026.0295.1—73.161.756.969.269.3
YOLOv5Year=2020 github2026.0295—69.361.657.170.956
Faster RcnnYear=2015 TPAMI2026.0294.8—69.86158.166.856.7
RetinaNetYear=2017 TPAMI2026.0293.8—67.959.555.767.262.1
MGDDetector=Faster R-CNN R182026.05—62.8—————
MGDDetector=RetinaNet R182026.05—58.7—————
MGDDetector=DETR R502026.05—37.36—————
SURGEDetector=Faster R-CNN R182026.05—68.03—————
SURGEDetector=RetinaNet R182026.05—60.33—————
SURGEDetector=DETR R502026.05—59.7—————