Existing object recognition techniques often rely on human labeled data conducting to
severe limitations to design a fully autonomous machine vision system. In this work, we …

Salient object detection is a basic technique for many computer vision applications. In this
paper, we propose an adaptive computational model to detect the salient object in color …

In this work we present an intelligent approach to detection and extraction of salient objects.
The described system is inspired by early processing stages of human visual system and is …

The work accomplished in this thesis concerns development of an autonomous machine
cognition system. The proposed solution reposes on the assumption that it is the curiosity …

In this work we contribute to development of an online unsupervised technique allowing
learning of objects from unlabeled images and their detection when seen again. We were …

With the proliferation of pornographic images on the Internet, it is essential to automatically
detect pornographic images by analyzing image content. Most traditional detection systems …

In this paper we present a suggested automatic clustering procedure with the main aim to
predict the number of clusters of unknown, heterogeneous images. We used the state-of-the …

Στην παρούσα εργασία με τίτλο 'Ανίχνευση Αντικειμένων σε Πραγματικό Χρόνο με Βαθιά
Μάθηση και Υπολογιστική Αιχμής'γίνεται η υλοποίηση εφαρμογής ανίχνευσης μάσκας πάνω …

This demonstration highlights the benefits that image retrieval systems can enjoy by use of a
thoughtful interface. We present a live demonstration of PRISM, a new Web-based …

Existing object recognition techniques frequently depend on human named information
directing to serious impediments to plan a completely autonomous machine vision …