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XGrad-CAM

3 papers tagged archive 2025-07-28

Introduced by Ruigang Fu et al. in Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

XGrad-CAM, or Axiom-based Grad-CAM, is a class-discriminative visualization method and able to highlight the regions belonging to the objects of interest. Two axiomatic properties are introduced in the derivation of XGrad-CAM: Sensitivity and Conservation. In particular, the proposed XGrad-CAM is still a linear combination of feature maps, but able to meet the constraints of those two axioms.

PaperSource

Papers archive 2025-07-28

3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Edge Detection1
Ensemble Learning1
Image Generation1
Saliency Detection1
Sensitivity1
Uncertainty Quantification1

Usage over time archive 2025-07-28

Papers per year tagged with XGrad-CAM: 2018 to 2025, peak 1 1 0 2018: 1 paper 2018 2019: 0 papers 2019 2020: 1 paper 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Explainable CNNs

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