Transcription of Selective Search for Object Recognition
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Selective Search for Object Recognition
Int J Comput VisDOI Search for Object RecognitionJ. R. R. Uijlings K. E. A. van de Sande T. Gevers A. W. M. SmeuldersReceived: 5 May 2012 / Accepted: 11 March 2013 Springer Science+Business Media New York 2013 AbstractThis paper addresses the problem of generatingpossible Object locations for use in Object Recognition . Weintroduce Selective Search which combines the strength ofboth an exhaustive Search and segmentation. Like segmen-tation, we use the image structure to guide our samplingprocess. Like exhaustive Search , we aim to capture all possi-ble Object locations.
However, our selective search applies to regions as well and is also applicable to concepts such as “grass”. In this paper we propose selective search for object recognition. Our main research questions are: (1) What are good diversification strategies for adapting segmentation as a selective search strategy? (2) How effective is selective
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