SDCBNet: A sparse-to-dense cylinder-BEV fusion network for LiDAR semantic segmentation.
- DOI
- 10.1016/j.neunet.2026.109758
- Published
- 2026-10-21
- Container
- Neural Netw
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109758,
title = {SDCBNet: A sparse-to-dense cylinder-BEV fusion network for LiDAR semantic segmentation.},
author = {Yu L and Cheng J.},
year = {2027},
journal = {Neural Netw},
doi = {10.1016/j.neunet.2026.109758},
url = {https://doi.org/10.1016/j.neunet.2026.109758}
}RIS
TY - JOUR TI - SDCBNet: A sparse-to-dense cylinder-BEV fusion network for LiDAR semantic segmentation. AU - Yu L AU - Cheng J. PY - 2027 JO - Neural Netw DO - 10.1016/j.neunet.2026.109758 UR - https://doi.org/10.1016/j.neunet.2026.109758 ER -
APA
L, Y., & J., C. (2027). SDCBNet: A sparse-to-dense cylinder-BEV fusion network for LiDAR semantic segmentation.. Neural Netw. https://doi.org/10.1016/j.neunet.2026.109758
Source records
- europe-pmc · retrieved 2026-11-10T13:46:32.945Z