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Found 3 papers, 0 papers with code
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
We propose a convolutional network framework for learning binary patch descriptors where pixel domain features are fused with features extracted from the transformed domain.
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications.
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Training deep Convolutional Neural Networks (CNN) is a time consuming task that may take weeks to complete.
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