Post-hoc Self-explanation of CNNs
Post-hoc Self-explanation of CNNs explores This research proposes a novel method to improve the interpretability of Convolutional Neural Networks by integrating k-means clustering with feature activations, offering concept-based explanation maps.. Commercial viability score: 4/10 in Computer Vision Explainability.
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