Selective Search for Object Recognition
- Author
- UIJLINGS, J. R. R1 ; VAN DE SANDE, K. E. A2 ; GEVERS, T2 ; SMEULDERS, A. W. M2
[1] University of Trento, Trento, Italy
[2] University of Amsterdam, Amsterdam, Netherlands - Source
International journal of computer vision. 2013, Vol 104, Num 2, pp 154-171, 18 p ; ref : 3/4 p
- ISSN
- 0920-5691
- Scientific domain
- Cognition; Computer science
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Keyword (fr)
- Echantillonnage Intelligence artificielle Localisation objet Modèle dirigé par les données Modélisation Recherche information Reconnaissance forme Recouvrement Segmentation Vision ordinateur Reconnaissance objet Sac de mots
- Keyword (en)
- Sampling Artificial intelligence Object location Data driven modelling Modeling Information retrieval Pattern recognition Overlay Segmentation Computer vision Object recognition Bag of words
- Keyword (es)
- Muestreo Inteligencia artificial Localización objeto Modelo basado en datos Modelización Búsqueda información Reconocimiento patrón Recubrimiento Segmentación Visión ordenador Reconocimiento de objetos Bolsa de palabras
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27595359
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s11263-013-0620-5 
https://dx.doi.org/10.1007/s11263-013-0620-5
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