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Jan, 2023
深度视觉建模中可解释人工智能的调查：方法和度量
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
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Naveed Akhtar
TL;DR
本文是可解释人工智能领域的第一篇调查研究，探讨了深度视觉模型解释方法和度量标准，提供了现有技术的分类组织，阐述了不同属性的度量方法，并就当前趋势、挑战和未来方向进行了深入讨论。
Abstract
deep visual models
have widespread applications in high-stake domains. Hence, their black-box nature is currently attracting a large interest of the research community. We present the first survey in
explainable ai
→