Comparison between Grad-CAM and EigenCAM on YOLOv5 detection model-Reference-Cited by-同舟云学术

Comparison between Grad-CAM and EigenCAM on YOLOv5 detection model

Published:2022-11-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Electronics and Smart Devices (ISESD)
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Author:

Rahman Arief Nur¹,Andriana Dian²,Machbub Carmadi³

Affiliation:

1. Bandung Institute of Technology Research Center for Telecommunications National Research and Innovation Agency,School of Electrical Engineering and Informatics,Bandung,Indonesia

2. Telkom University,Research Center for Data and Information Science National Research and Innovation Agency School of Computing,Bandung,Indonesia

3. Bandung Institute of Technology,School of Electrical Engineering and Informatics,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9980473/9980545/09980734.pdf?arnumber=9980734

Reference13 articles.

1. Eigen-CAM: Class Activation Map using Principal Components

2. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

3. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

4. Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

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