Region Ranking SVM for Image Classification

Abstract

The success of an image classification algorithm largely depends on how it incorporates local information in the global decision. Popular approaches such as average-pooling and max-pooling are suboptimal in many situations. In this paper we propose Region Ranking SVM (RRSVM), a novel method for pooling local information from multiple regions. RRSVM exploits… (More)
DOI: 10.1109/CVPR.2016.326

Topics

7 Figures and Tables

Statistics

010203020162017
Citations per Year

Citation Velocity: 11

Averaging 11 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics