Object Detection on RDDTS
38.2APFRFDet-X
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FRFDet-XMode=Trained from scratch for 300 epochs, Params (M)=39.0, FLOPs (G)=106.32026.07 | 38.2 | 54.4 | |
| FRFDet-LMode=Trained from scratch for 300 epochs, Params (M)=22.7, FLOPs (G)=57.22026.07 | 37.8 | 53.7 | |
| FRFDet-MMode=Trained from scratch for 300 epochs, Params (M)=17.4, FLOPs (G)=47.72026.07 | 36.6 | 52.1 | |
| FRFDet-SMode=Trained from scratch for 300 epochs, Params (M)=9.3, FLOPs (G)=15.72026.07 | 32.4 | 47.2 | |
| FRFDet-TMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=4.62026.07 | 28.5 | 42.6 | |
| FRFDet-PMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=33.9, FLOPs (G)=228.2, Backbone=ResNet-502026.07 | 27.2 | 41.3 | |
| YOLOv9-TMode=Trained from scratch for 300 epochs, Params (M)=2.0, FLOPs (G)=3.82026.07 | 26.8 | 40.6 | |
| YOLOv10-NMode=Trained from scratch for 300 epochs, Params (M)=2.3, FLOPs (G)=3.32026.07 | 26.7 | 41.2 | |
| YOLOv11-NMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=3.22026.07 | 26.7 | 40.9 | |
| Deformable DETRMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=40.0, FLOPs (G)=192.5, Backbone=ResNet-502026.07 | 26.5 | 40.2 | |
| DDODMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.2, FLOPs (G)=173.1, Backbone=ResNet-502026.07 | 26.1 | 38.6 | |
| DeCoDetMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=34.6, FLOPs (G)=225.4, Backbone=ResNet-502026.07 | 25.9 | 39.5 | |
| TOODMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.0, FLOPs (G)=192.5, Backbone=ResNet-502026.07 | 25.8 | 39 | |
| YOLOv12-NMode=Trained from scratch for 300 epochs, Params (M)=2.6, FLOPs (G)=3.22026.07 | 25.7 | 39.8 | |
| YOLOv8-NMode=Trained from scratch for 300 epochs, Params (M)=3.0, FLOPs (G)=4.02026.07 | 25.5 | 39.1 | |
| 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-502026.07 | 25.2 | 36.6 | |
| ATSSMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=195.6, Backbone=ResNet-502026.07 | 25.1 | 37.7 | |
| CenterNetMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=191.5, Backbone=ResNet-502026.07 | 23.8 | 37.1 | |
| FCOSMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.1, FLOPs (G)=191.5, Backbone=ResNet-502026.07 | 22.8 | 34.5 | |
| 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-502026.07 | 22.5 | 32.4 | |
| ReppointsMode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=36.8, FLOPs (G)=184.3, Backbone=ResNet-502026.07 | 21.3 | 35.1 | |
| GFL V1Mode=Pretrained on ImageNet-1K + fine-tuned with the 1x schedule (12 epochs), Params (M)=32.3, FLOPs (G)=198.7, Backbone=ResNet-502026.07 | 13.9 | 22.9 |