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Found 4 papers, 0 papers with code
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
Convolutional neural networks often generate multiple logits and use simple techniques like addition or averaging for loss computation.
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks
To address this, we propose a novel two-phase dynamic routing protocol that computes agreements between neurons at various layers for micro and macro-level features, following a hierarchical learning paradigm.
Using dynamic routing to extract intermediate features for developing scalable capsule networks
Capsule networks have gained a lot of popularity in short time due to its unique approach to model equivariant class specific properties as capsules from images.
Handwritten Indic Character Recognition using Capsule Networks
Convolutional neural networks(CNNs) has become one of the primary algorithms for various computer vision tasks.
