On the impact of pre-training datasets for matching dendritic identifiers using residual nets-Reference-Cited by-同舟云学术

On the impact of pre-training datasets for matching dendritic identifiers using residual nets

Published:2024-06-10 Issue: Volume:1 Page:1-6
ISSN:
Container-title:Proceedings of the International Workshop on Artificial Intelligence for Signal, Image Processing and Multimedia
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Author:

Jhaj Baaz¹^ORCID,Shukla Ankita²^ORCID,Turaga Pavan¹^ORCID,Kozicki Michael³^ORCID

Affiliation:

1. Geometric Media Lab, Arizona State University, Tempe, Arizona, USA

2. Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, USA

3. School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, Arizona, USA

Funder

NSF (National Science Foundation)

USDA NIFA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643487.3662168

Reference16 articles.

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3. ImageNet: A large-scale hierarchical image database

4. Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In International Conference on Learning Representations, (ICLR) 2021. OpenReview.net.

5. Gregory Fiumara Patricia Flanagan Kenneth Ko Karen Marshall Elham Tabassi and Bryan Woodgate. 2019. NIST Special Database 302. https://www.nist.gov/itl/iad/image-group/nist-special-database-302. https://doi.org/10.6028/NIST.TN.2007