article Open AccessTop 1% cited
Impact of fully connected layers on performance of convolutional neural networks for image classification
Neurocomputing · 2019 · Vol. 378 · pp. 112–119
S. H. Shabbeer Basha✉(Indian Institute of Information Technology Allahabad)Shiv Ram Dubey(Indian Institute of Information Technology Allahabad)P. Viswanath(Indian Institute of Information Technology Allahabad)Snehasis Mukherjee(Indian Institute of Information Technology Allahabad)
Advanced Neural Network ApplicationsHuman Pose and Action RecognitionAnomaly Detection Techniques and ApplicationsComputer scienceConvolutional neural networkContext (archaeology)Process (computing)ArchitectureArtificial intelligenceContextual image classificationCode (set theory)Pattern recognition (psychology)Image (mathematics)
Funding
- Science and Engineering Research Board
Citations
546
FWCI
17.68
field-weighted impact
References
51
Percentile
99%
vs. same field & year
Citations per year
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References
ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2015 · 39,683 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
IEEE Transactions on Medical Imaging · 2016 · 1,231 citations
Impact of fully connected layers on performance of convolutional neural networks for image classification
Neurocomputing · 2019 · 546 citations
Deep learning
Nature · 2015 · 79,164 citations
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