most citedCrater Detection via Convolutional Neural Networks

37 citations · 49 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DL2017★ 1 cited

ShortScience.org - Reproducing Intuition

Joseph Paul Cohen, Henry Z. Lo

We present ShortScience.org, a platform for post-publication discussion of research papers. On ShortScience.org, the research community can read and write summaries of papers in or…

cs.CV2017

Count-ception: Counting by Fully Convolutional Redundant Counting

Joseph Paul Cohen, Genevieve Boucher, Craig A. Glastonbury +2

Counting objects in digital images is a process that should be replaced by machines. This tedious task is time consuming and prone to errors due to fatigue of human annotators. The…

cs.NE2016

Scale Normalization

Henry Z. Lo, Kevin Amaral, Wei Ding

One of the difficulties of training deep neural networks is caused by improper scaling between layers. Scaling issues introduce exploding / gradient problems, and have typically be…

cs.NI2016★ 6 cited

Academic Torrents: Scalable Data Distribution

Henry Z. Lo, Joseph Paul Cohen

As competitions get more popular, transferring ever-larger data sets becomes infeasible and costly. For example, downloading the 157.3 GB 2012 ImageNet data set incurs about $4.33…

cs.CV2016★ 5 cited

RandomOut: Using a convolutional gradient norm to rescue convolutional filters

Joseph Paul Cohen, Henry Z. Lo, Wei Ding

Filters in convolutional neural networks are sensitive to their initialization. The random numbers used to initialize filters are a bias and determine if you will "win" and converg…

cs.CV2016★ 37 cited

Crater Detection via Convolutional Neural Networks

Joseph Paul Cohen, Henry Z. Lo, Tingting Lu +1

Craters are among the most studied geomorphic features in the Solar System because they yield important information about the past and present geological processes and provide info…