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Source-Free Object Detection by Learning To Overlook Domain Style

CVPR 2022 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Geometric alignment and synthetic-to-real adaptation · 81 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Adapt the source detector with style enhancement and graph alignmentsFaster R-CNN · Pascal→ClipartmAP: 44.1 -> 45.2Helped
Adapt the source detector with style enhancement and graph alignmentsFaster R-CNN · Pascal→WatercolormAP: 56.9 -> 58.2Helped
Adapt the source detector with style enhancement and graph alignmentsFaster R-CNN · Cityscapes→Foggy-CityscapesmAP: 35.5 -> 35.8Helped
Adapt the source detector with style enhancement and graph alignmentsFaster R-CNN · KITTI→CityscapesAP on car: 43.6 -> 43.9Helped
Add style enhancement instead of random image augmentation (ablation)LODS with alignment modules · Pascal→WatercolormAP: 53.1 -> 58.2Helped
Add style enhancement instead of random image augmentation (ablation)LODS with alignment modules · Pascal→ClipartmAP: 33.2 -> 45.2Helped
Use style transfer instead of random image augmentation (ablation)LODS with alignment modules · Pascal→WatercolormAP: 53.1 -> 55.4Helped
Use style transfer instead of random image augmentation (ablation)LODS with alignment modules · Pascal→ClipartmAP: 33.2 -> 39.8Helped
Add style enhancement rather than style transfer (ablation)LODS with alignment modules · Pascal→WatercolormAP: 55.4 -> 58.2Helped
Add style enhancement rather than style transfer (ablation)LODS with alignment modules · Pascal→ClipartmAP: 39.8 -> 45.2Helped
Add GIA alongside GCIA (ablation)LODS · Pascal→WatercolormAP: 56.6 -> 58.2Helped
Add GIA alongside GCIA (ablation)LODS · Pascal→ClipartmAP: 44.5 -> 45.2Helped

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