What is recorded here?
Uses pooled class gradients to weight convolutional feature maps and produces a rectified localization map without changing or retraining the target CNN; Guided Grad-CAM combines it with a high-resolution backward visualization.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Coarse first-order localization, not a complete causal explanation or proof of model fidelity. CAM is an inherited special case, apart from rectification/normalization; Guided Backprop and Grad-CAM are distinct components. V1 six-author order differs from2019v4; later added claims are not backdated.
Read the original work
- Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Grad-CAM: gradient-weighted coarse localization for CNN predictions
Uses pooled class gradients to weight convolutional feature maps and produces a rectified localization map without changing or retraining the target CNN; Guided Grad-CAM combines it with a high-resolution backward visualization.
Scientific scope
Coarse first-order localization, not a complete causal explanation or proof of model fidelity. CAM is an inherited special case, apart from rectification/normalization; Guided Backprop and Grad-CAM are distinct components. V1 six-author order differs from2019v4; later added claims are not backdated.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.