37 citations · 98 across the 11 of their papers we have counts for
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cs.CV2015
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis, Jingming Dong, Stefano Soatto
We conduct an empirical study to test the ability of Convolutional Neural Networks (CNNs) to reduce the effects of nuisance transformations of the input data, such as location, sca…
cs.CV2015★ 20 cited
Boosting Convolutional Features for Robust Object Proposals
Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
Deep Convolutional Neural Networks (CNNs) have demonstrated excellent performance in image classification, but still show room for improvement in object-detection tasks with many c…