Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation. (arXiv:2103.09716v2 [cs.CV] UPDATED)

Identifying the status of individual network units is critical for
understanding the mechanism of convolutional neural networks (CNNs). However,
it is still challenging to reliably give a general indication of unit status,
especially for units in different network models. To this end, we propose a
novel method for quantitatively clarifying the status of single unit in CNN
using algebraic topological tools. Unit status is indicated via the calculation
of a defined topological-based entropy, called feature entropy, which measures
the degree …

arxiv cv entropy performance