Improve the Deep Learning Models in Forestry Based on Explanations and Expertise
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DOI: 10.3389/fpls.2022.902105
Abstract: In forestry studies, deep learning models have achieved excellent performance in many application scenarios (e.g., detecting forest damage). However, the unclear model decisions (i.e., black-box) undermine the credibility of the results and hinder their practicality.… read more here.
Keywords: learning models; improve deep; models forestry; deep learning ... See more keywords