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Found 3 papers, 2 papers with code
Understanding Inhibition Through Maximally Tense Images
We address the functional role of 'feature inhibition' in vision models; that is, what are the mechanisms by which a neural network ensures images do not express a given feature?
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
Most research has primarily centered around attribution methods, which provide explanations in the form of heatmaps, showing where the model directs its attention for a given feature.
Pruning for Feature-Preserving Circuits in CNNs
Deep convolutional neural networks are a powerful model class for a range of computer vision problems, but it is difficult to interpret the image filtering process they implement, given their sheer size.
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