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Object Detection on Diverse-Weather Dusk Rainy

42.3mAP@0.5CD-FKD
22.0227.28532.5537.815Mar 17, 2026

Evaluation results

MethodLinks
CD-FKDBackbone=ResNet101-FPN2026.0342.3—
DivAlign2026.0338.1—
G-NAS2026.0335.1—
PDDOC2026.0333.7—
UFR2026.0333.2—
CLIP-Gap2026.0332.3—
S-DGOD2026.0328.2—
Faster R-CNNBackbone=ResNet101-FPN2026.0327.9—
SW2026.0326.3—
IBN-Net2026.0326.1—
ISW2026.0325.9—
IterNorm2026.0322.8—
CLIP The GapTarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10—32.3
CLIP-Gap2024.02—32.3
Faster-RCNN2024.02—26
IBN-Net2024.02—26.1
ISW2024.02—25.9
IterNorm2024.02—22.8
PØDATarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10—40.2
Prompt-Driven Dynamic Object-Centric Learning2024.02—33.7
S-DGOD2024.02—28.2
S-DGODTarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10—28.2
SW2024.02—26.3