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Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details

Overview of attention for article published in Frontiers in Neuroscience, December 2015
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Title
Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details
Published in
Frontiers in Neuroscience, December 2015
DOI 10.3389/fnins.2015.00481
Pubmed ID
Authors

Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Abstract

This article reports on two databases for event-driven object recognition using a Dynamic Vision Sensor (DVS). The first, which we call Poker-DVS and is being released together with this article, was obtained by browsing specially made poker card decks in front of a DVS camera for 2-4 s. Each card appeared on the screen for about 20-30 ms. The poker pips were tracked and isolated off-line to constitute the 131-recording Poker-DVS database. The second database, which we call MNIST-DVS and which was released in December 2013, consists of a set of 30,000 DVS camera recordings obtained by displaying 10,000 moving symbols from the standard MNIST 70,000-picture database on an LCD monitor for about 2-3 s each. Each of the 10,000 symbols was displayed at three different scales, so that event-driven object recognition algorithms could easily be tested for different object sizes. This article tells the story behind both databases, covering, among other aspects, details of how they work and the reasons for their creation. We provide not only the databases with corresponding scripts, but also the scripts and data used to generate the figures shown in this article (as Supplementary Material).

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Switzerland 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Student > Master 15 18%
Researcher 9 11%
Student > Doctoral Student 5 6%
Student > Bachelor 3 4%
Other 11 13%
Unknown 23 27%
Readers by discipline Count As %
Engineering 27 32%
Computer Science 20 24%
Psychology 3 4%
Arts and Humanities 2 2%
Medicine and Dentistry 2 2%
Other 6 7%
Unknown 25 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2016.
All research outputs
#14,913,296
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#6,087
of 11,537 outputs
Outputs of similar age
#195,954
of 396,413 outputs
Outputs of similar age from Frontiers in Neuroscience
#68
of 120 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.