The Evolution of Deep Learning Architectures for Visual Recognition: Design Principles, Feature Learning, and Network Strategies
- DOI
- 10.21203/rs.3.rs-11102058/v1
- Published
- 2026-10-22
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- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-11102058/v1,
title = {The Evolution of Deep Learning Architectures for Visual Recognition: Design Principles, Feature Learning, and Network Strategies},
author = {Xu G and Zhang J and Luo J and Du T and Li C and Wu X and Zhou H and Xu H and Yu Y.},
year = {2026},
doi = {10.21203/rs.3.rs-11102058/v1},
url = {https://doi.org/10.21203/rs.3.rs-11102058/v1}
}RIS
TY - JOUR TI - The Evolution of Deep Learning Architectures for Visual Recognition: Design Principles, Feature Learning, and Network Strategies AU - Xu G AU - Zhang J AU - Luo J AU - Du T AU - Li C AU - Wu X AU - Zhou H AU - Xu H AU - Yu Y. PY - 2026 DO - 10.21203/rs.3.rs-11102058/v1 UR - https://doi.org/10.21203/rs.3.rs-11102058/v1 ER -
APA
G, X., J, Z., J, L., T, D., C, L., X, W., H, Z., H, X., & Y., Y. (2026). The Evolution of Deep Learning Architectures for Visual Recognition: Design Principles, Feature Learning, and Network Strategies. https://doi.org/10.21203/rs.3.rs-11102058/v1
Source records
- europe-pmc · retrieved 2026-11-10T15:06:34.355Z