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Research map / Detection and segmentation / CNN features

Seeing Small Faces From Robust Anchor's Perspective

CVPR 2018 · Detection and segmentation › CNN features · approach: Box regression and loss design · 113 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace baseline feature-map generation with bilinear upsampling (ablation)ResNet-101 anchor-based detector · Wider Face validation HardAP: 0.705 -> 0.710Helped
Enlarge the feature map with bilinear upsampling and a skip connection (ablation)ResNet-101 anchor-based detector · Wider Face validation HardAP: 0.705 -> 0.778Helped
Use dilated convolution to enlarge the feature map (ablation)ResNet-101 anchor-based detector · Wider Face validation HardAP: 0.705 -> 0.779Helped
Add one shifted 16×16 anchor (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.781Helped
Add one shifted 16×16 anchor and one shifted 32×32 anchor (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.782Helped
Add three shifted 16×16 anchors (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.786Helped
Add three shifted 16×16 anchors and one shifted 32×32 anchor (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.781Helped
Add three shifted anchors at both 16×16 and 32×32 scales (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.779No clear effect
Add face-shift jittering during training (ablation)+DC · Wider Face validation HardAP: 0.779 -> 0.788Helped
Add face-shift jittering during training (ablation)+DC+16x3 · Wider Face validation HardAP: 0.786 -> 0.789Helped
Assign hard faces to the top 3 anchors (ablation)+DC+16x3+SJ · Wider Face validation HardAP: 0.789 -> 0.793Helped
Assign hard faces to the top 5 anchors (ablation)+DC+16x3+SJ · Wider Face validation HardAP: 0.789 -> 0.795Helped

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