A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Immediate, Scalable Object Category Detection
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
The objective of this work is object category detection in large scale image datasets in the manner of Video Googlean object category is specified by a HOG classifier template, and retrieval is immediate at run time. We make the following three contributions: (i) a new image representation based on mid-level discriminative patches, that is designed to be suited to immediate object category detection and inverted file indexing; (ii) a sparse representation of a HOG classifier using a set of
doi:10.1109/cvpr.2014.305
dblp:conf/cvpr/AytarZ14
fatcat:dzk5z5uisrgsbd6ls45oc5jkdq