Patch-sampled contrastive learning for dense prediction pretraining in metallographic images
Abstract The shapes, sizes, and distributions of microstructures determine the mechanical properties of alloy products, necessitating identification of microstructures in metallographic images during the manufacturing process. Previous studies demonstrated the success of deep learning in analyzing s...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , |
|---|---|
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
Nature Portfolio
2025-12-01
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| Sraith: | Scientific Reports |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1038/s41598-025-32855-5 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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