Abstract: Highlights•Hypercomplex CNNs with and without attention introduce cross-channel weight sharing.•Cross-channel weight sharing enables discovery of a new class of input correlations.•Hypercomplex networks can be further optimized without loss of accuracy.•Toward this goal, separable hypercomplex operations are introduced.
External IDs:dblp:journals/ivc/ShahadatM24
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