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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.

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why CAM does not use ReLU, unlike Grad-CAM?

I learned that Grad-CAM uses ReLU becuase it is only interested in positive incluence on the class of interest. Then I think ReLU can also be used to CAM. But why they don't use ReLU?
COTHE's user avatar
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1 answer
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What does "aligned" across domains in domain adaptation?

within Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis paper. I got trouble in understanding their cluster-aware contrastive adaption $\mathcal{L}_\text{cca}$. I ...
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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 ...
user1631306's user avatar
3 votes
1 answer
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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 ...
Alexander Soare's user avatar