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Box-Level Active Detection

CVPR 2023 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Pseudo-labeling for semi-supervised detection · 26 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ComPAS rather than the strongest listed baseline, MeanEntropy-MCDropoutVOC-sup active detection · VOC-sup, cycle 9mAP50: 81.40±0.35 -> 82.13±0.25Helped
Use ComPAS rather than ActiveTeacherVOC-semi active detection · VOC-semi, cycle 4mAP50: 80.27±0.28 -> 81.97±0.31Helped
Use ComPAS rather than the strongest listed baseline, MeanEntropy-MCDropoutCOCO-sup active detection · COCO-sup, cycle 9mAP: 29.37±0.21 -> 33.50±0.00Helped
Use ComPAS rather than ActiveTeacherCOCO-semi active detection · COCO-semi, cycle 9mAP: 33.01±0.16 -> 35.73±0.12Helped
Add an acquisition reference based on EMA chairman predictions instead of comparing committee members directly (ablation)ComPAS acquisition on VOC-sup · VOC-sup, cycle 9mAP50: 81.20±0.20 -> 82.13±0.25Helped
Add the EMA chairman as the reference instead of using the detector itself (ablation)ComPAS acquisition on VOC-sup · VOC-sup, cycle 9mAP50: 80.70±0.28 -> 82.13±0.25Helped
Use an EMA chairman reference rather than member-to-member assignment (ablation)ComPAS acquisition on VOC-sup · VOC-sup acquisitioninference time per image: 0.6739 -> 0.1667Helped
Increase the input-end committee from one to four members (ablation)sComPAS · VOC-sup, cycle 9mAP50: 81.70±0.26 -> 81.83±0.15Helped
Increase the input-end committee from four to ten members (ablation)sComPAS · VOC-sup, cycle 9mAP50: 81.83±0.15 -> 82.13±0.25Helped
Use the classification-localization disagreement product instead of classification disagreement alone (ablation)Box-level active acquisition · VOC-supmAP50Helped
Add pseudo-labels to complement sparse human annotations (ablation)Box-level sparse training · VOC-supmAP50Helped
Remove pseudo-label generation from box-level sparse training (ablation)box-Entropy-noPL · VOC-supmAP50Hurt

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