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Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing

CVPR 2018 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised semantic segmentation · 634 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use DSRG instead of static-label weak supervisionweakly supervised semantic segmentation on PASCAL VOC 2012 · PASCAL VOC 2012 valmIoU: 58.6 -> 61.4Helped
use DSRG instead of static-label weak supervisionweakly supervised semantic segmentation on PASCAL VOC 2012 · PASCAL VOC 2012 testmIoU: 59.2 -> 63.2Helped
use DSRG instead of the strongest listed baselineweakly supervised semantic segmentation on COCO · COCO valmean IoU: 22.4 -> 26.0Helped
replace the original seeding loss with balanced seeding loss (ablation)VGG-16 segmentation baseline · PASCAL VOC 2012 valmIoU: 52.5 -> 53.6Helped
add DSRG training to the balanced-seeding-loss model (ablation)VGG-16 segmentation model · PASCAL VOC 2012 valmIoU: 53.6 -> 57.6Helped
retrain with predicted segmentation masks as supervision (ablation)VGG-16 DSRG model · PASCAL VOC 2012 valmIoU: 57.6 -> 59.0Helped
perform region growing only for foreground rather than for both foreground and background (ablation)VGG-16 DSRG model · PASCAL VOC 2012 valmIoU: 55.9Hurt
perform region growing only for background rather than for both foreground and background (ablation)VGG-16 DSRG model · PASCAL VOC 2012 valmIoU: 54.3Hurt
vary foreground and background region-growing thresholds (ablation)VGG-16 DSRG model · PASCAL VOC 2012 valmIoU: 57.45; 57.59; 57.63; 57.69; 57.66No clear effect

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