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Sukrit Shankar

2 accepted papers

2016

Refining Architectures of Deep Convolutional Neural Networks

CVPR 2016poster

Deep Convolutional Neural Networks (CNNs) have recently evinced immense success for various image recognition tasks. However, a question of paramount importance is somewhat unanswered in deep learning research - is the selected CNN optimal for the dataset in terms of accuracy and model size? In thi…

Cited by 40PDFScholar
2015

DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets

CVPR 2015poster

Most of the approaches for discovering visual attributes in images demand significant supervision, which is cumbersome to obtain. In this paper, we aim to discover visual attributes in a weakly supervised setting that is commonly encountered with contemporary image search engines. For instance, giv…

Cited by 80SourcePDFScholar