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Found 5 papers, 1 papers with code
Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A survey
Wide use and availability of the machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains.
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.
Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps
In this paper, we address the registration of historical WWII images to present-day ortho-photo maps for the purpose of geolocalization.
Reading Ancient Coin Legends: Object Recognition vs. OCR
Standard OCR is a well-researched topic of computer vision and can be considered solved for machine-printed text.
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.
