Rethinking Class-Discrimination Based CNN Channel Pruning

Understand

Channel pruning has received ever-increasing focus on network compression.

• In particular, class-discrimination based channel pruning has made major headway, as it fits seamlessly with the classification objective of CNNs and provides good explainability.
• Prior works singly propose and evaluate their discriminant functions, while further study on the effectiveness of the adopted metrics is absent.
• To this end, we initiate the first study on the effectiveness of a broad range of discriminant functions on channel pruning.