VTC-Net: A Semantic Segmentation Network for Ore Particles Integrating Transformer and Convolutional Block Attention Module (CBAM).
- DOI
- 10.3390/s26030787
- Published
- 2026 Jan 24
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26030787,
title = {VTC-Net: A Semantic Segmentation Network for Ore Particles Integrating Transformer and Convolutional Block Attention Module (CBAM).},
author = {Wu Y and Liang W and Fang J and Zhou C and Sun X},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26030787},
url = {https://doi.org/10.3390/s26030787}
}RIS
TY - JOUR TI - VTC-Net: A Semantic Segmentation Network for Ore Particles Integrating Transformer and Convolutional Block Attention Module (CBAM). AU - Wu Y AU - Liang W AU - Fang J AU - Zhou C AU - Sun X PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26030787 UR - https://doi.org/10.3390/s26030787 ER -
APA
Y, W., W, L., J, F., C, Z., & X, S. (2026). VTC-Net: A Semantic Segmentation Network for Ore Particles Integrating Transformer and Convolutional Block Attention Module (CBAM).. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26030787
Source records
- pubmed · retrieved 2026-11-10T07:24:55.483Z