SMFormer: A spatial-motional transformer for two-view correspondence pruning.
- DOI
- 10.1016/j.neunet.2026.109622
- Published
- 2026 Sep 9
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109622,
title = {SMFormer: A spatial-motional transformer for two-view correspondence pruning.},
author = {Chen S and Miao X and Zhao Y and Yang B and Xiao G},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109622},
url = {https://doi.org/10.1016/j.neunet.2026.109622}
}RIS
TY - JOUR TI - SMFormer: A spatial-motional transformer for two-view correspondence pruning. AU - Chen S AU - Miao X AU - Zhao Y AU - Yang B AU - Xiao G PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109622 UR - https://doi.org/10.1016/j.neunet.2026.109622 ER -
APA
S, C., X, M., Y, Z., B, Y., & G, X. (2026). SMFormer: A spatial-motional transformer for two-view correspondence pruning.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109622
Source records
- pubmed · retrieved 2026-09-25T23:27:48.512Z