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Learning To Detect and Segment for Open Vocabulary Object Detection

CVPR 2023 · Detection and segmentation › Open-set and few-shot detection · approach: Open-vocabulary object detection · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Condition the box-regression and mask-segmentation heads on semantic embeddingsRegionCLIP open-vocabulary detector · COCOdetection AP, Novel: 31.3 -> 33.7 (+2.4)Helped
Condition the box-regression and mask-segmentation heads on semantic embeddingsRegionCLIP open-vocabulary detector · COCOinstance segmentation AP, Novel: 27.5 -> 29.7 (+2.2)Helped
Condition detection heads on semantic embeddingsRegionCLIP, RN50-C4 · LVISdetection APr: 17.0 -> 19.9 (+2.9)Helped
Condition segmentation heads on semantic embeddingsRegionCLIP, RN50-C4 · LVISinstance segmentation APr: 17.4 -> 20.0 (+2.6)Helped
Condition detection heads on semantic embeddingsViLD trained on LVIS · COCO cross-dataset evaluationAP50: 55.6 -> 59.1 (+3.5)Helped
Condition box and mask heads on semantic embeddingsViLD on LVIS · LVISdetection APr: 16.6 -> 18.8 (+2.2)Helped
Add CondHead to the box-regression head (ablation)ViLD* on LVIS · LVISdetection APr: 16.6 -> 19.6 (+2.7)Helped
Add CondHead to the mask-segmentation head (ablation)ViLD* on LVIS · LVISinstance segmentation APr: 16.9 -> 20.0 (+2.2)Helped
Use naive class-wise transfer based on the most semantically similar base category instead of CondHead (ablation)ViLD · LVISbox APr: 18.8 -> 17.1Hurt
Add Shapemask shape priors to CondHead (ablation)ViLD · LVISmask APr: 16.9 -> 20.4Helped
Add Shapemask shape priors to CondHead (ablation)RegionCLIP · LVISmask APr: 17.4 -> 21.0Helped
Increase the number of expert heads beyond 40 (ablation)CondHead · LVISdetection and segmentation performanceNo clear effect

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