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ExplainFix: Explainable Spatially Fixed Deep Networks

ExplainFix adopts two design principles: the “fixed filters” principle that all spatial filter weights of convolutional neural networks can be fixed at initialization and never learned, and the “nimbleness” principle that only few network parameters suffice.

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Cite this as

Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho (2024). Dataset: ExplainFix: Explainable Spatially Fixed Deep Networks. https://doi.org/10.57702/28a49iji

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Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.1002/widm.1483
Author Alex Gaudio
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Christos Faloutsos
Asim Smailagic
Pedro Costa
Aurélio Campilho