Activation Fine-Tuning of Convolutional Neural Networks for Improved Input Attribution Based on Class Activation Maps

Activation Fine-Tuning of Convolutional Neural Networks for Improved Input Attribution Based on Class Activation Maps

Model induction is one of the most popular methods to extract information to better understand AI’s decisions by estimating the contribution of input features for a class of interest. However, we found a potential issue: most model induction methods, especially those that compute class activation ma...

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Bibliographic Details
Main Authors: Sungmin Han, Jeonghyun Lee, Sangkyun Lee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
activation fine-tuning
class activation map
input attribution
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/12/24/12961

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