Modelpedia
Work in progress
About
Findings
Models
Concepts
Methods
Datasets
Sources
Light
Dark
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
2024-01-16
· ICLR 2024 poster ·
anchor
Findings
IC-673
Trained depthwise convolutional kernels in DS-CNN architectures converge to identifiable DoG-like patterns, with over 95% of ConvNeXtV2 and over 90% of ConvNeXt filters classifiable into a small set of clusters