105 citations · 267 across the 9 of their papers we have counts for
Showing 2016Show all
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cs.CV2016★ 3 cited
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose +1
Recent advances have enabled "oracle" classifiers that can classify across many classes and input distributions with high accuracy without retraining. However, these classifiers ar…
stat.ML2016★ 105 cited
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou +6
Yes, they do. This paper provides the first empirical demonstration that deep convolutional models really need to be both deep and convolutional, even when trained with methods suc…