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Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors

CVPR 2022 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Pseudo-labeling for semi-supervised detection · 142 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use Listen2Student boundary-wise regression loss instead of no unsupervised regression loss (ablation)Faster R-CNN · COCO-standardAP55: 29.71 -> 30.78Helped
use Listen2Student boundary-wise regression loss instead of no unsupervised regression loss (ablation)Faster R-CNN · COCO-standardAP95: 0.35 -> 0.58Helped
replace Listen2Student with confidence thresholding for regression pseudo-labels (ablation)Faster R-CNN · COCO-standardAP95: 0.35 -> 0.32Hurt
replace Listen2Student with confidence thresholding for regression pseudo-labels (ablation)Faster R-CNN · COCO-standardAP55: 29.71 -> 30.60Helped
select FCOS pseudo-boxes by classification score rather than combined box score (ablation)FCOS · COCO-standard semi-supervisedmAP: 15.12 -> 17.79Helped
use center-sampling rather than standard label assignment (ablation)FCOS · COCO-standard semi-supervisedmAP: 17.79 -> 14.96Hurt
use center-sampling rather than standard label assignment (ablation)FCOS · fully supervisedmAP: 37.10 -> 38.10Helped
apply Unbiased Teacher to FCOS rather than Faster R-CNN (ablation)Unbiased Teacher · COCO-standard 0.5%mAP: 14.36 -> 10.27Hurt
apply Unbiased Teacher to FCOS rather than Faster R-CNN (ablation)Unbiased Teacher · COCO-standard 10%mAP: 29.56 -> 28.18No clear effect
use Unbiased Teacher v2 with FCOS instead of Unbiased TeacherFCOS-ResNet50 · COCO-standard 0.5%mAP: 10.27 -> 16.25Helped
use Unbiased Teacher v2 with Faster R-CNN instead of SoftTeacherFaster R-CNN-ResNet50 · COCO-standard 10%mAP: 34.04 -> 35.02Helped
add COCO20cls to the unlabeled setUnbiased Teacher v2 · VOC07-testAP 50:95: 56.87 -> 58.08Helped

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