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A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions

Computer Science

A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions

P. Wang and N. Vasconcelos

Explore GALORE, the innovative framework developed by Pei Wang and Nuno Vasconcelos that revolutionizes attribution-based explanations in computer vision. It combines attributive, deliberative, and counterfactual explanations to enhance understanding and performance in fine-grained classification tasks. Discover how it correlates with human reasoning and improves machine teaching!

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Citations
9
Influential Citations
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Reference Count
102
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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