α-TCAV replaces TCAV's hard indicator with a tunable smooth function to create a unified probabilistic framework with lower variance and guidance for parameter choice or Bayes-optimal scoring.
Visual-TCA V: Concept-based Attribu- tion and Saliency Maps for Post-hoc Explainability in Image Classification, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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The paper introduces a framework of four complementary analyses to evaluate the faithfulness of synthetic concept images from zero-shot T2I models versus real images for concept-based XAI.
citing papers explorer
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$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
α-TCAV replaces TCAV's hard indicator with a tunable smooth function to create a unified probabilistic framework with lower variance and guidance for parameter choice or Bayes-optimal scoring.
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A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability
The paper introduces a framework of four complementary analyses to evaluate the faithfulness of synthetic concept images from zero-shot T2I models versus real images for concept-based XAI.