BriefGPT.xyz
Aug, 2019
利用深度泰勒分解区分深度学习模型中时空关系的可解释活动识别
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
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Liam Hiley, Alun Preece, Yulia Hicks, David Marshall
TL;DR
针对视频处理中的可解释AI问题,利用深度Taylor分解技术提出新的判别式相关模型,可以同时表示空间和时间上的重要性信息。
Abstract
Current techniques for
explainable ai
have been applied with some success to image processing. The recent rise of research in video processing has called for similar work n deconstructing and explaining
spatio-temporal
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