27 citations · 86 across the 18 of their papers we have counts for
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cs.CV2015★ 24 cited
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Calvin Murdock, Zhen Li, Howard Zhou +1
Most deep architectures for image classification--even those that are trained to classify a large number of diverse categories--learn shared image representations with a single mod…
cs.CV2015★ 20 cited
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Jonathan Krause, Benjamin Sapp, Andrew Howard +5
Current approaches for fine-grained recognition do the following: First, recruit experts to annotate a dataset of images, optionally also collecting more structured data in the for…