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May, 2024
远程视觉多任务推理的压缩特征选择
Compressive Feature Selection for Remote Visual Multi-Task Inference
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Saeed Ranjbar Alvar, Ivan V. Bajić
TL;DR
深度模型中的特征压缩与远程推理任务之间的关联性，通过互信息作为特征重要性度量，进行硬选择和软选择实验并与其他方法进行比较，提供多目标分析来深入研究。
Abstract
deep models
produce a number of features in each internal layer. A key problem in applications such as
feature compression
for
remote inference
→