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Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation

Overview of attention for article published in Journal of Big Data, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
3 patents
q&a
1 Q&A thread

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
215 Mendeley
Title
Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation
Published in
Journal of Big Data, November 2019
DOI 10.1186/s40537-019-0263-7
Authors

Mahdi Hashemi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 13%
Student > Bachelor 27 13%
Student > Master 26 12%
Student > Doctoral Student 9 4%
Lecturer 8 4%
Other 23 11%
Unknown 95 44%
Readers by discipline Count As %
Computer Science 64 30%
Engineering 25 12%
Mathematics 5 2%
Agricultural and Biological Sciences 3 1%
Business, Management and Accounting 3 1%
Other 18 8%
Unknown 97 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 June 2022.
All research outputs
#6,010,999
of 24,226,848 outputs
Outputs from Journal of Big Data
#101
of 367 outputs
Outputs of similar age
#103,741
of 364,185 outputs
Outputs of similar age from Journal of Big Data
#6
of 17 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 367 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 364,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.