atlas

Research map / Detection and segmentation / CNN features

Selective Refinement Network for High Performance Face Detection

AAAI 2019 · Detection and segmentation › CNN features · approach: Efficient DETR query design · 168 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add STC to RetinaNet (ablation)RetinaNet · WIDER FACE validation Easy, Medium, HardAP: 95.1% to 95.3%; 93.9% to 94.4%; 88.0% to 89.4%Helped
Add STC to RetinaNet (ablation)RetinaNet · WIDER FACE validationfalse positives across recall rates: 3 -> 1; 24 -> 20; 126 -> 101; 2801 -> 2124; 27644 -> 13163; 466534 -> 103586Helped
Add STR to RetinaNet (ablation)RetinaNet · WIDER FACE validation Easy, Medium, HardAP: 0.8%, 0.9% and 0.8% AP improvementsHelped
Add STR to RetinaNet (ablation)RetinaNet · WIDER FACE HardAP at IoU thresholds 0.5, 0.6, 0.7, 0.8: 88.1 -> 88.8; 76.4 -> 83.4; 57.8 -> 66.5; 28.5 -> 38.2Helped
Add two-step classification at P2, P3, and P4 (ablation)RetinaNet · WIDER FACE validation Easy, Medium, HardAP: P2: 95.2, 94.2, 88.9; P3: 95.2, 94.3, 88.7; P4: 95.2, 94.1, 88.5; baseline: 95.1, 93.9, 88.0Helped
Add two-step classification at P5, P6, or P7 (ablation)RetinaNet · WIDER FACE validationAP: P5: 95.0, 93.9, 87.8; P6: 95.1, 93.7, 88.0; P7: 95.0, 93.9, 87.7; baseline: 95.1, 93.9, 88.0Hurt
Add two-step regression at P2, P3, or P4 (ablation)RetinaNet · WIDER FACE validationAP: P2: 94.8, 93.4, 87.5; P3: 94.3, 93.7, 87.7; P4: 94.8, 93.9, 87.0; baseline: 95.1, 93.9, 88.0Hurt
Add two-step regression at P5, P6, or P7 (ablation)RetinaNet · WIDER FACE validationAP: P5: 95.4, 94.2, 88.2; P6: 95.7, 94.4, 88.2; P7: 95.6, 94.6, 88.4; baseline: 95.1, 93.9, 88.0Helped
Add RFE to STC+STR (ablation)SRN · WIDER FACE validation Easy, Medium, HardAP: 0.3%, 0.3%, and 0.1%Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy