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Research map / Detection and segmentation / Open-set and few-shot detection

Domain Generalised Faster R-CNN

AAAI 2023 · Detection and segmentation › Open-set and few-shot detection · approach: Domain-adaptive object detection · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the complete DGFR-CNN regularisation to Faster R-CNNFaster R-CNN · Foggy CityscapesmAP: 26.9 -> 38.90Helped
Add the complete DGFR-CNN regularisation to Faster R-CNNFaster R-CNN · Rainy CityscapesmAP: 40.47 -> 44.66Helped
Add the complete DGFR-CNN regularisationFaster R-CNN · GWHD OOD testWADA: 53.73 -> 54.92Helped
Add the complete DGFR-CNN regularisationFaster R-CNN · Sim10K + Cityscapes → BDD100KmAP: 50.52 -> 52.02Helped
Add the complete DGFR-CNN regularisationFaster R-CNN · Sim10K + BDD100K → CityscapesmAP: 71.43 -> 71.78Helped
Add the complete DGFR-CNN regularisationFaster R-CNN · BDD100K + Cityscapes → Sim10KmAP: 61.84 -> 62.50Helped
Add bounding-box alignment only (ablation)Faster R-CNN · GWHD OOD testWADA: 53.73 -> 54.48Helped
Add bounding-box alignment only (ablation)Faster R-CNN · Sim10K + Cityscapes → BDD100KmAP: 50.52 -> 35.76Hurt
Add bounding-box alignment only (ablation)Faster R-CNN · Sim10K + BDD100K → CityscapesmAP: 71.43 -> 70.02Hurt
Add bounding-box alignment only (ablation)Faster R-CNN · BDD100K + Cityscapes → Sim10KmAP: 61.84 -> 54.30Hurt
Add class-conditional alignment only (ablation)Faster R-CNN · GWHD OOD testWADA: 53.73 -> 53.65No clear effect
Add class-conditional alignment only (ablation)Faster R-CNN · Sim10K + Cityscapes → BDD100KmAP: 50.52 -> 38.07Hurt

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