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SCALoss: Side and Corner Aligned Loss for Bounding Box Regression

AAAI 2022 · Detection and segmentation › CNN features · approach: Box regression and loss design · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the regression loss with SCALossYOLOv3-tiny · COCO 2017 valmAP: 18.9 -> >19.9Helped
Replace the regression loss with SCALossYOLOv3 · COCO 2017 valmAP: 44.8 -> >45.3Helped
Replace the regression loss with SCALossSSD · PASCAL VOC 2007 testmAP: 52.28 -> >53.45Helped
Replace the second-stage regression loss with SCALossFaster R-CNN · PASCAL VOC 2007 testmAP: 50.85 -> >51.84Helped
Replace the regression loss with SCALossFaster R-CNN · LVIS 1.0 valmAP: 16.7 -> >17.7Helped
Add Corner Distance to IoU (ablation)SSD · PASCAL VOC 2007 testmAP: 52.28 -> 52.97Helped
Add Center Distance to IoU (ablation)SSD · PASCAL VOC 2007 testmAP: 52.28 -> 52.65Helped
Use Corner Distance alone instead of IoU (ablation)SSD · PASCAL VOC 2007 testmAP: 52.28 -> 52.64Helped
Use Side Overlap alone instead of IoU (ablation)SSD · PASCAL VOC 2007 testmAP: +0.8 mAPHelped
Combine Side Overlap with Corner Distance (ablation)SSD · PASCAL VOC 2007 testmAP: 52.28 -> 53.45Helped
Use Center Distance alone (ablation)SSD · PASCAL VOC 2007 testmAP: 19.17Hurt
Set SCALoss alpha to 0.2 instead of 0.5 (ablation)SSD · PASCAL VOC 2007 testmAP: 53.45 -> 53.23Hurt

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