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Object Detection on RDDTS

38.2APFRFDet-X
12.92819.48926.0532.611Jul 5, 2026

Evaluation results

MethodLinks
FRFDet-XMode=Trained from scratch for 300 epochs, Params (M)=39.0, FLOPs (G)=106.32026.0738.254.4
FRFDet-LMode=Trained from scratch for 300 epochs, Params (M)=22.7, FLOPs (G)=57.22026.0737.853.7
FRFDet-MMode=Trained from scratch for 300 epochs, Params (M)=17.4, FLOPs (G)=47.72026.0736.652.1
FRFDet-SMode=Trained from scratch for 300 epochs, Params (M)=9.3, FLOPs (G)=15.72026.0732.447.2
FRFDet-TMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=4.62026.0728.542.6
FRFDet-PMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=33.9, FLOPs (G)=228.2, Backbone=ResNet-502026.0727.241.3
YOLOv9-TMode=Trained from scratch for 300 epochs, Params (M)=2.0, FLOPs (G)=3.82026.0726.840.6
YOLOv10-NMode=Trained from scratch for 300 epochs, Params (M)=2.3, FLOPs (G)=3.32026.0726.741.2
YOLOv11-NMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=3.22026.0726.740.9
Deformable DETRMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=40.0, FLOPs (G)=192.5, Backbone=ResNet-502026.0726.540.2
DDODMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.2, FLOPs (G)=173.1, Backbone=ResNet-502026.0726.138.6
DeCoDetMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=34.6, FLOPs (G)=225.4, Backbone=ResNet-502026.0725.939.5
TOODMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.0, FLOPs (G)=192.5, Backbone=ResNet-502026.0725.839
YOLOv12-NMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=3.22026.0725.739.8
YOLOv8-NMode=Trained from scratch for 300 epochs, Params (M)=3.0, FLOPs (G)=4.02026.0725.539.1
Grid R-CNNMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=64.5, FLOPs (G)=317.4, Backbone=ResNet-502026.0725.236.6
ATSSMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=195.6, Backbone=ResNet-502026.0725.137.7
CenterNetMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=191.5, Backbone=ResNet-502026.0723.837.1
FCOSMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=191.5, Backbone=ResNet-502026.0722.834.5
Dynamic R-CNNMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=41.4, FLOPs (G)=201.7, Backbone=ResNet-502026.0722.532.4
ReppointsMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=36.8, FLOPs (G)=184.3, Backbone=ResNet-502026.0721.335.1
GFL V1Mode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.3, FLOPs (G)=198.7, Backbone=ResNet-502026.0713.922.9