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Found 3 papers, 2 papers with code
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
The best Mean Average Precision (mAP@0. 5) of 98. 8% for vehicle type recognition, 98. 5% for license plate detection, and 98. 3% for license plate reading is achieved by YOLOv4, while its lighter version, i. e., Tiny YOLOv4 obtained a mAP of 97. 1%, 97. 4%, and 93. 7% on vehicle type recognition, license plate detection, and license plate reading, respectively.
Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
We perform the classification of ancient Roman Republican coins via recognizing their reverse motifs where various objects, faces, scenes, animals, and buildings are minted along with legends.
A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification
We apply the BoVWs technique to our problem and use three symbols for coarse-grained classification.
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