Grounding semantics in robots for Visual Question Answering
In this thesis I describe an operational implementation of an object detection and description system that incorporates in an end-to-end Visual Question Answering system and evaluated it on two visual question answering datasets for compositional language and elementary visual reasoning.
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/167445 |
| Acceso en línea: | https://hdl.handle.net/2117/167445 |
| Access Level: | acceso abierto |
| Palabra clave: | Semantics Natural language processing (Computer science) Machine learning object description object classification visual question answering grounding semantics image segmentation Semàntica Tractament del llenguatge natural (Informàtica) Aprenentatge automàtic Àrees temàtiques de la UPC::Informàtica |
| Sumario: | In this thesis I describe an operational implementation of an object detection and description system that incorporates in an end-to-end Visual Question Answering system and evaluated it on two visual question answering datasets for compositional language and elementary visual reasoning. |
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