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Active Teacher for Semi-Supervised Object Detection

CVPR 2022 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Pseudo-labeling for semi-supervised detection · 93 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 1% labeledmAP (50:95): 20.75 -> 22.20Helped
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 2% labeledmAP (50:95): 24.30 -> 24.99Helped
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 5% labeledmAP (50:95): 28.27 -> 30.07Helped
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 10% labeledmAP (50:95): 31.50 -> 32.58Helped
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 20% labeledmAP (50:95): 34.88* -> 35.49Helped
Use iterative active sampling to initialize and augment the labeled setActive-Teacher · MS-COCO val2017, 40% labeledmAP (50:95): 37.29 -> 37.92Helped
Replace STAC's initial labeled data with Active-Teacher-selected dataSTAC · MS-COCO val2017, 1% labeledmAP (50:95): 13.97 -> 14.79Helped
Replace STAC's initial labeled data with Active-Teacher-selected dataSTAC · MS-COCO val2017, 5% labeledmAP (50:95): 24.38 -> 26.19Helped
Replace STAC's initial labeled data with Active-Teacher-selected dataSTAC · MS-COCO val2017, 10% labeledmAP (50:95): 28.64 -> 29.77Helped
Add active sampling instead of using the no-active-sampling baseline (ablation)Active-Teacher · COCO-Standard, 5% labeledmAP (50:95): 27.84 -> 29.48Helped
Add active sampling instead of using the no-active-sampling baseline (ablation)Active-Teacher · COCO-Standard, 10% labeledmAP (50:95): 31.39 -> 32.08Helped
Add active sampling instead of using the no-active-sampling baseline (ablation)Active-Teacher · COCO-Standard, 20% labeledmAP (50:95): 34.26* -> 35.13Helped

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