Neural Networks for Visual Search
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 201
Special Issue Editor
Special Issue Information
Dear Colleagues,
Visual search is the capability of a system to detect a particular object (or feature), called 'target', among other objects (or features), called 'distractors'.
In the past years several works have been published on this topic. Besides classic approaches that tried to model the target and the differences from the distractors, in recent years, neural networks approaches have also begun to be investigated. One of the most interesting properties of neural networks, in fact, is that they are able to learn differentiating characteristics in an automatic way and try to generalize a problem. This allows them to handle unseen data. Moreover, neural networks approaches also allowed an ever increasing number of different targets.
The goal of this Special Issue is to present recent advance in these areas, as well as recent developments related to theory and topologies.
Dr. Arcangelo Bruna
Guest Editor
Manuscript Submission Information
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Keywords
- visual search
- neural networks
- deep learning
- artificial intelligence
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