Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel.
- DOI
- 10.1038/s41598-026-43386-y
- Published
- 2026 May 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-43386-y,
title = {Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel.},
author = {Zhang Z and Zou Y and Liu X and Zhang X},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-43386-y},
url = {https://doi.org/10.1038/s41598-026-43386-y}
}RIS
TY - JOUR TI - Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel. AU - Zhang Z AU - Zou Y AU - Liu X AU - Zhang X PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-43386-y UR - https://doi.org/10.1038/s41598-026-43386-y ER -
APA
Z, Z., Y, Z., X, L., & X, Z. (2026). Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel.. Scientific reports. https://doi.org/10.1038/s41598-026-43386-y
Source records
- pubmed · retrieved 2026-09-25T20:47:15.212Z