Search results with tag "Selective search"
Faster R-CNN: Towards Real-Time Object Detection with ...
arxiv.orgSelective Search [4], one of the most popular meth-ods, greedily merges superpixels based on engineered low-level features. Yet when compared to efficient detection networks [2], Selective Search is an order of magnitude slower, at 2 seconds per image in a CPU implementation. EdgeBoxes [6] currently provides the
Selective Search for Object Recognition
staff.fnwi.uva.nlHowever, 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
Selective Search for Object Recognition
huppelen.nlSelective Search for Object Recognition J.R.R. Uijlings∗1,2, K.E.A. van de Sande†2, T. Gevers2, and A.W.M. Smeulders2 1University of Trento, Italy 2University of Amsterdam, the Netherlands Technical Report 2012, submitted to IJCV Abstract This paper addresses the problem of generating possible object lo-