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DSFD: Dual Shot Face Detector

CVPR 2019 · Detection and segmentation › CNN features · approach: Region-based and query-based detectors · 508 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add FEM to FSSD with VGG16 (ablation)FSSD+VGG16 · WIDER FACE validation Easy, Medium, HardAP: 92.6% -> 93.0%; 90.2% -> 91.4%; 79.1% -> 84.6%Helped
Add FEM to FSSD with ResNet50 (ablation)FSSD+ResNet50 · WIDER FACE validation Easy, Medium, HardAP: 93.7% -> 95.0%; 92.2% -> 94.1%; 81.8% -> 88.0%Helped
Add PAL to FSSD+FEM with ResNet50 (ablation)FSSD+ResNet50+FEM · WIDER FACE validation Easy, Medium, HardAP: 95.0% -> 95.3%; 94.1% -> 94.4%; 88.0% -> 88.6%Helped
Add IAM to FSSD+FEM with ResNet101 (ablation)FSSD+ResNet101+FEM · WIDER FACE validation Easy, Medium, HardAP: 95.8% -> 96.1%; 95.1% -> 95.2%; 89.7% -> 90.0%Helped
Add PAL after FEM and IAM with ResNet101 (ablation)FSSD+ResNet101+FEM+IAM · WIDER FACE validation Easy, Medium, HardAP: 96.1% -> 96.3%; 95.2% -> 95.4%; 90.0% -> 90.1%Helped
Replace ResNet101 with ResNet152 (ablation)FSSD+FEM+IAM+PAL · WIDER FACE validation Easy, Medium, HardAP: 96.3% -> 96.6%; 95.4% -> 95.7%; 90.1% -> 90.4%Helped
Increase training batch size (ablation)DSFD with ResNet152 · WIDER FACE validation HardAP: 90.4% -> 91.2%Helped
Replace FEM with RFB (ablation)DSFD with ResNet101 · WIDER FACE Easy, Medium, HardAP: 96.3 -> 96.0; 95.4 -> 94.5; 90.1 -> 87.2Hurt
Use a more complex or higher ImageNet Top-1-accuracy backbone (ablation)DSFD · WIDER FACE validation Easy, Medium, HardAP: ResNet101: 96.3%, 95.4%, 90.1%; DPN98: 96.3%, 95.5%, 90.4%; SE-ResNeXt101: 95.7%, 94.8%, 88.9%Mixed
Use IAM anchor-based face sampling and matching (ablation)DSFD anchor matching · WIDER FACE training matched anchorsaverage matched anchors per face: 6.4 to about 6.9Helped

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