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Few-Shot Fine-Grained Forest Fire Smoke Recognition Based on Metric Learning
To date, most existing forest fire smoke detection methods rely on coarse-grained identification, which only distinguishes between smoke and non-smoke. Thus, non-fire smoke and fire smoke are treated the same in these methods, resulting in false alarms within the smoke classes. The fine-grained iden...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658153/ https://www.ncbi.nlm.nih.gov/pubmed/36366081 http://dx.doi.org/10.3390/s22218383 |