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CentripetalText: An Efficient Text Instance Representation for Scene Text Detection

NeurIPS 2021 · Detection and segmentation › CNN features · approach: Arbitrary-shape scene text detection · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Relaxed L1 instead of Smooth L1 (ablation)CentripetalText · Total-TextF-measure: 83.0 -> 84.9Helped
Relaxed L1 instead of Smooth L1 (ablation)CentripetalText · MSRA-TD500F-measure: 81.0 -> 83.0Helped
Relaxed L1 instead of Balanced L1 (ablation)CentripetalText · Total-TextF-measure: 83.8 -> 84.9Helped
CT representation instead of PANCentripetalText · MSRA-TD500F-measure: 78.9 -> 83.0Helped
CT representation instead of PANCentripetalText · Total-TextF-measure: 83.5 -> 84.9Helped
FPEM neck instead of FPN (ablation)ResNet18 · Total-TextF-measure: 84.0 -> 84.9Helped
FPEM neck instead of FPN (speed) (ablation)ResNet18 · Total-TextFPS: 46.8 -> 40.0Hurt
ResNet50 instead of ResNet18 backbone (ablation)FPEM · Total-TextF-measure: 84.9 -> 85.6Helped
pretrain on SynthTextCT-640 · Total-TextF-measure: 84.9 -> 86.3Helped
replace SPN with CPN in Mask TextSpotter v3Mask TextSpotter v3 · Total-Text end-to-end (no lexicon)end-to-end F: 71.2 -> 71.9Helped

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