MGCFI-Net: Multi-scale globally aware feature learning with cross-view feature interaction for multi-view stereo.
- DOI
- 10.1016/j.neunet.2026.109137
- Published
- 2026 Nov
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109137,
title = {MGCFI-Net: Multi-scale globally aware feature learning with cross-view feature interaction for multi-view stereo.},
author = {Han M and Yin H and Chong A and Huang H},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109137},
url = {https://doi.org/10.1016/j.neunet.2026.109137}
}RIS
TY - JOUR TI - MGCFI-Net: Multi-scale globally aware feature learning with cross-view feature interaction for multi-view stereo. AU - Han M AU - Yin H AU - Chong A AU - Huang H PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109137 UR - https://doi.org/10.1016/j.neunet.2026.109137 ER -
APA
M, H., H, Y., A, C., & H, H. (2026). MGCFI-Net: Multi-scale globally aware feature learning with cross-view feature interaction for multi-view stereo.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109137
Source records
- pubmed · retrieved 2026-09-25T20:28:58.672Z