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Research map / Detection and segmentation / CNN features

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

CVPR 2019 · Detection and segmentation › CNN features · approach: Arbitrary-shape scene text detection · 321 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add IRM with one refinement pass (ablation)DR · ICDAR2017-RCTWHmean: 58.96 -> 62.30Helped
increase IRM refinement passes from 1 to 2 (ablation)DR+IRM · ICDAR2017-RCTWHmean: 62.30 -> 62.62Helped
increase IRM refinement passes from 2 to 3 (ablation)DR+IRM · ICDAR2017-RCTWHmean: 62.62 -> 62.73Helped
add corner attention maps (ablation)DR+IRM · ICDAR2017-RCTWHmean IoU@0.5: 62.31 -> 62.62Helped
add corner attention maps (ablation)DR+IRM · ICDAR2017-RCTWHmean IoU@0.7: 51.64 -> 53.14Helped
add SEM (ablation)DR · SCUT-CTW1500Hmean: 70.58 -> 77.75Helped
add SEM (ablation)DR+IRM · SCUT-CTW1500Hmean: 72.09 -> 78.43Helped
use multi-scale testingLOMO · SCUT-CTW1500Hmean: 78.4 -> 80.8Helped
use multi-scale testingLOMO · Total-TextHmean: 81.6 -> 83.3Helped
use multi-scale testingLOMO · ICDAR 2015Hmean: 87.2 -> 87.7Helped

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