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ENTITY READ-2016

READ-2016

PulseAugur coverage of READ-2016 — every cluster mentioning READ-2016 across labs, papers, and developer communities, ranked by signal.

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SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 1 TOTAL
  1. TOOL · CL_97640 ·

    HTR systems show persistent performance gap for Arabic vs. Latin scripts

    A new study published on arXiv analyzes the performance gap between handwritten text recognition (HTR) systems for Latin and Arabic scripts. Researchers used a unified Convolutional Recurrent Neural Network (CRNN) model…