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Contextualized Vision Transformers (CVT): Adaptive Spectral Embedding and Feature Gating for Precise Text-Graphics Classification Cover

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Contextualized Vision Transformers (CVT): Adaptive Spectral Embedding and Feature Gating for Precise Text-Graphics Classification

Tatra Mountains Mathematical Publications

By: Mridul Ghosh, Konrad Dürrbeck, Roland Fischer, Mária Ždímalová and Tonmoy Mete

Open Access

|Mar 2026

Articles in this issue

DOI: https://doi.org/10.2478/tmmp-2026-0003 | Journal eISSN: 1338-9750 | Journal ISSN: 1210-3195

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Language: English

Submitted on: Oct 8, 2025

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Accepted on: Nov 27, 2026

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Published on: Mar 17, 2026

Published by: Slovak Academy of Sciences, Mathematical Institute

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

vision transformer,

classification,

learnable patch decomposition

Related subjects:

General mathematics

© 2026 Mridul Ghosh, Konrad Dürrbeck, Roland Fischer, Mária Ždímalová, Tonmoy Mete, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.