A confidence-aware ensemble that combines SVTRv2, PARSeq, and MAERec after fine-tuning on the official training split is proposed, and an error analysis of all remaining mistakes shows that 48% are associated with labeling issues, visual ambiguity, or illegible samples, highlighting the value of diagnostic reporting fo...
L. A. Dias, Henrique A. Schulz, Rafael Tadeu Machado de Miranda et al.· 0 citations
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