Web: http://arxiv.org/abs/2207.14686

Sept. 19, 2022, 1:14 a.m. | Denise Moussa, Anatol Maier, Andreas Spruck, Jürgen Seiler, Christian Riess

cs.CV updates on arXiv.org arxiv.org

Forensic license plate recognition (FLPR) remains an open challenge in legal
contexts such as criminal investigations, where unreadable license plates (LPs)
need to be deciphered from highly compressed and/or low resolution footage,
e.g., from surveillance cameras. In this work, we propose a side-informed
Transformer architecture that embeds knowledge on the input compression level
to improve recognition under strong compression. We show the effectiveness of
Transformers for license plate recognition (LPR) on a low-quality real-world
dataset. We also provide a synthetic …

arxiv compression transformers

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