3 citations · 6 across the 2 of their papers we have counts for
3 papers
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Joshua Peeples, Connor McCurley, Sarah Walker +2
In this work, we propose a new loss to improve feature discriminability and classification performance. Motivated by the adaptive cosine/coherence estimator (ACE), our proposed met…
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery
Sarah Walker, Joshua Peeples, Jeff Dale +2
In this work, we present an in-depth and systematic analysis using tools such as local interpretable model-agnostic explanations (LIME) (arXiv:1602.04938) and divergence measures t…
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
Joshua Peeples, Sarah Walker, Connor McCurley +3
Feature representation is an important aspect of remote-sensing based image classification. While deep convolutional neural networks are able to effectively amalgamate information,…