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Research map / Detection and segmentation / CNN features

Text Spotting Transformers

CVPR 2022 · Detection and segmentation › CNN features · approach: Arbitrary-shape scene text detection · 144 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add bounding-box guidance to the control point queries (ablation)TESTR-Polygon · Total-TextEnd-to-end: 67.5 -> 73.3Helped
use multi-scale features instead of only the last-stage ResNet feature (ablation)TESTR-Polygon · Total-TextEnd-to-end: 62.5 -> 73.3Helped
increase polygon input scale from 720 to 1600 (ablation)TESTR-Polygon · Total-TextEnd-to-end: 66.2 -> 73.3Helped
increase polygon input scale from 720 to 1600 (ablation)TESTR-Polygon · Total-TextFPS: 11.7 -> 5.3Hurt
set lambda_char to 8.0 rather than 4.0 (ablation)TESTR-Polygon · Total-TextEnd-to-end F: 73.3 -> 73.8Helped
use polygon annotations rather than Bezier annotationsTESTR · Total-TextEnd-to-end None: 71.6 -> 73.3Helped
use polygon annotations rather than Bezier annotationsTESTR · CTW1500End-to-end None: 53.3 -> 56.0Mixed

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