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cs.CV2026
The Character Error Vector: Decomposable errors for page-level OCR evaluation
Jonathan Bourne, Mwiza Simbeye, Joseph Nockels
The Character Error Rate (CER) is a key metric for evaluating the quality of Optical Character Recognition (OCR). However, this metric assumes that text has been perfectly parsed,…
cs.CV2026
MOTe error: A decomposable framework for evaluating Document Layout Analysis models
Jonathan Bourne, Mwiza Simbeye, Ishtar Govia
Document Layout Analysis (DLA) is a machine vision task that parses a page into meaningful elements, and is a critical stage in Document Understanding (DU). DLA models are usually…