A contrastive masked autoencoder achieves 89.7% precision on open-set character-level writer identification on CASIA-OLHWDB, and 81.6% rank-1 on IAM-OnDB.
Advances in online handwritten recognition in the last decades,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
A contrastive masked autoencoder achieves 89.7% precision on open-set character-level writer identification on CASIA-OLHWDB, and 81.6% rank-1 on IAM-OnDB.