Questions tagged [grad-cam]
For questions about the Gradient-weighted Class Activation Mapping (GradCAM) technique for explainable AI, which was proposed in the paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization" (2019) by Ramprasaath R. Selvaraju et al.
3
questions
0
votes
0
answers
82
views
Grad cam on multi view cnn
I have two views of one object and using multi view cnn from .https://github.com/SAMY-ER/Multi-View-Image-Classification. This works great and I am getting better results. Though how can I apply grad ...
- 81
0
votes
0
answers
48
views
CNN: Input Normalization for Time Series Data (Grad-CAM)
I trained a CNN model on univariate time series data. As I often read that it is advisable to normalize the data, e.g., using z-normalization, I started with training on z-normalized versions of the ...
3
votes
1
answer
520
views
In GradCAM, why is activation strength considered an indicator of relevant regions?
In the GradCAM paper section 3 they implicitly propose that two things are needed to understand which areas of an input image contribute most to the output class (in a multi-label classification ...
- 1,289