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Research map / Label-efficient and robust learning / Recognition and long-tail

Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter

CVPR 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add WH-ACE (ablation)ADP with IFA-inference · IAMCER: 27.65 -> 10.28Helped
add WH-ACE (ablation)ExCTC with IFA-inference · IAMCER: 15.83 -> 6.26Helped
add WH-ACE (ablation)ADP with conventional inference · IAMCER: 11.85 -> 11.78Helped
add WH-ACE (ablation)ExCTC with conventional inference · IAMCER: 6.48 -> 6.42Helped
replace conventional decoding with IFA-inference (ablation)ADP · IAMCER: 11.78 -> 10.28Helped
replace conventional decoding with IFA-inference (ablation)ExCTC · IAMCER: 6.42 -> 6.26Helped
apply IFA-inference to full-page rather than line input (ablation)ExCTC · IAMCER: 6.26 -> 6.16Helped
apply IFA-inference to full-page rather than line input (ablation)ADP · IAMCER: 10.28 -> 9.97Helped
use ExCTC instead of ADPIFA full-page recognition · IAMCER: 9.97 -> 6.16Helped
use ADP instead of attention-based WAP + TDOffRaSHME character recognition · OffRaSHMEF-measure: 84.74 -> 89.32Helped
use ExCTC instead of Det + Recogdetection-free text spotting · ICDAR-2013Speed: 2.79 -> 31.76Helped
use IFA rather than Det + RecogTouching-Block · Touching-BlockAR: 77.75 -> 84.96Helped

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