Through the Eyes of Involution
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These two images represent different channel responses within the Involution block of the network. The left image highlights how certain channels focus specifically on building structures, capturing edges and roof textures. In contrast, the right image shows channels that emphasize vegetation, such as grass and trees, helping the model distinguish between natural and man-made elements in complex urban environments.
This visual not only reflects how the model “sees” urban structures but also provides a glimpse into the interpretability of AI vision. Through this piece, I aim to bridge the gap between machine perception and human aesthetics, showcasing the inner workings of deep learning in a visually compelling way.
I hope this artwork helps humans better understand what AI “sees,” and sparks curiosity about the beauty that can emerge when technology and creativity intersect.Text content