A System for Continuous Learning of Visual Concepts
Autor: | Skocaj, Danijel, Berginc, Gregor, Ridge, Barry, Stimec, Ales, Jogan, Matjaz, Vanek, Ondrej, Leonardis, Ales, Hutter, Manuela, Hawes, Nick |
---|---|
Jazyk: | němčina |
Rok vydání: | 2007 |
Předmět: | |
Zdroj: | International Conference on Computer Vision Systems : Proceedings (2007) |
Popis: | We present an artificial cognitive system for learning visual concepts. It comprises of vision, communication and manipulation subsystems, which provide visual input, enable verbal and non-verbal communication with a tutor and allow interaction with a given scene. The main goal is to learn associations between automatically extracted visual features and words that describe the scene in an open-ended, continuous manner. In particular, we address the problem of cross-modal learning of visual properties and spatial relations. We introduce and analyse several learning modes requiring different levels of tutor supervision. International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS) |
Databáze: | OpenAIRE |
Externí odkaz: |