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Research map / Detection and segmentation / CNN features

EAST: An Efficient and Accurate Scene Text Detector

CVPR 2017 · Detection and segmentation › CNN features · approach: Arbitrary-shape scene text detection · 1,852 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use EAST with multi-scale testing rather than single-scale testing (ablation)EAST + PVANET2x RBOX · ICDAR 2015 Challenge 4F-score: 0.7820 -> 0.8072Helped
Use RBOX output rather than QUAD output (ablation)EAST + PVANET2x · ICDAR 2015 Challenge 4F-score: 0.7707 -> 0.7820Helped
Use PVANET2x instead of PVANET (ablation)EAST · ICDAR 2015 Challenge 4F-score: 0.7571 -> 0.7820Helped
Use PVANET2x instead of VGG16 (ablation)EAST · COCO-TextF-score: 0.3945 -> 0.3701Hurt
Use PVANET2x instead of PVANET (ablation)EAST · COCO-TextF-score: 0.3424 -> 0.3701Helped
Use PVANET2x instead of VGG16 (ablation)EAST · MSRA-TD500F-score: 0.7023 -> 0.7608Helped
Use PVANET2x instead of PVANET (ablation)EAST · MSRA-TD500F-score: 0.7445 -> 0.7608Helped
Replace a multi-stage text detection pipeline with direct FCN prediction and NMSScene text detection · ICDAR 2015 Challenge 4F-score: 0.6477 -> 0.7820Helped
Replace a multi-stage text detection pipeline with direct FCN prediction and NMSScene text detection · COCO-TextF-score: 0.3331 -> 0.3945Helped
Replace a multi-stage text detection pipeline with direct FCN prediction and NMSScene text detection · MSRA-TD500F-score: 0.7591 -> 0.7608Helped

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