Scene understanding using deep learning
Deep learning is a type of machine perception method that attempts to model high-level abstractions in data and encode them into a compact and robust representation. Such representations have found immense usage in applications related to computer vision. In this chapter we introduce two such applic...
| Autores: | , , |
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| Tipo de recurso: | otro |
| Estado: | Versión enviada para evaluación y publicación |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/168996 |
| Acceso en línea: | http://hdl.handle.net/10261/168996 |
| Access Level: | acceso abierto |
| Palabra clave: | Semantic segmentation Action recognition Deep learning |
| Sumario: | Deep learning is a type of machine perception method that attempts to model high-level abstractions in data and encode them into a compact and robust representation. Such representations have found immense usage in applications related to computer vision. In this chapter we introduce two such applications, i.e., semantic segmentation of images and action recognition in videos. These applications are of fundamental importance for human-centered environment perception. |
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