CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition
- DOI
- 10.1109/tnnls.2023.3326606
- Published
- 2025-03
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2023.3326606,
title = {CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition},
author = {Kai Sun and Jiangshe Zhang and Shuang Xu and Zixiang Zhao and Chunxia Zhang and Junmin Liu and Junying Hu},
year = {2025},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2023.3326606},
url = {https://doi.org/10.1109/tnnls.2023.3326606}
}RIS
TY - JOUR TI - CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition AU - Kai Sun AU - Jiangshe Zhang AU - Shuang Xu AU - Zixiang Zhao AU - Chunxia Zhang AU - Junmin Liu AU - Junying Hu PY - 2025 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2023.3326606 UR - https://doi.org/10.1109/tnnls.2023.3326606 ER -
APA
Sun, K., Zhang, J., Xu, S., Zhao, Z., Zhang, C., Liu, J., & Hu, J. (2025). CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2023.3326606
Source records
- crossref · retrieved 2026-11-05T23:03:10.752Z