A Siamese Transformer Network for Zero-Shot Ancient Coin Classification

A Siamese Transformer Network for Zero-Shot Ancient Coin Classification

Ancient numismatics, the study of ancient coins, has in recent years become an attractive domain for the application of computer vision and machine learning. Though rich in research problems, the predominant focus in this area to date has been on the task of attributing a coin from an image, that is...

Full description

Bibliographic Details
Main Authors: Zhongliang Guo, Ognjen Arandjelović, David Reid, Yaxiong Lei, Jochen Büttner
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Imaging
Subjects:
Siamese neural network
matching
deep learning
computer vision
machine learning
low-shot learning
Online Access:https://www.mdpi.com/2313-433X/9/6/107

Internet

https://www.mdpi.com/2313-433X/9/6/107

Similar Items