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

Hybrid Knowledge Routed Modules for Large-scale Object Detection

NeurIPS 2018 · Detection and segmentation › Open-set and few-shot detection · approach: Open-set and unknown object detection · 76 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine attribute, relationship, and spatial knowledge modulesFaster RCNN · VG1000AP: 5.8 -> 7.8Helped
combine attribute, relationship, and spatial knowledge modulesFaster RCNN · VG3000AP: 3.4 -> 4.3Helped
combine attribute, relationship, and spatial knowledge modulesFaster RCNN · ADEAP: 7.9 -> 10.3Helped
add the attribute knowledge module (ablation)Faster RCNN · VG1000AP: 5.8 -> 7.4Helped
add the relationship knowledge module (ablation)Faster RCNN · VG1000AP: 5.8 -> 7.4Helped
add the spatial knowledge module (ablation)Faster RCNN · VG1000AP: 5.8 -> 7.3Helped
add the attribute knowledge module (ablation)Faster RCNN · VG3000AP: 3.4 -> 4.1Helped
add the relationship knowledge module (ablation)Faster RCNN · VG3000AP: 3.4 -> 4.2Helped
add the spatial knowledge module (ablation)Faster RCNN · VG3000AP: 3.4 -> 4.0Helped
add the attribute knowledge module (ablation)Faster RCNN · ADEAP: 7.9 -> 9.6Helped
add the relationship knowledge module (ablation)Faster RCNN · ADEAP: 7.9 -> 9.6Helped
add the spatial knowledge module (ablation)Faster RCNN · ADEAP: 7.9 -> 8.7Helped

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