Methods › Computer Vision › Convolutional Neural Networks › CR-NET

CR-NET

6 papers tagged archive 2025-07-28

Introduced by Sergio Montazzolli Silva et al. in License Plate Detection and Recognition in Unconstrained Scenarios

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

CR-NET is a YOLO-based model proposed for license plate character detection and recognition

PaperSource

Papers archive 2025-07-28

6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

13 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Optical Character Recognition (OCR)5
Data Augmentation4
License Plate Detection4
License Plate Recognition4
Optical Character Recognition2
Counter Recognition1
GPR1
GPU1
Image-based Automatic Meter Reading1
MS-SSIM1
Meter Reading1
SSIM1
Scene Text Recognition1

Usage over time archive 2025-07-28

Papers per year tagged with CR-NET: 2018 to 2022, peak 2 2 0 2018: 2 papers 2018 2019: 2 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 2 papers 2022
Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Convolutional Neural Networks

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