37 citations · 52 across the 5 of their papers we have counts for
12 papers
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Weihuang Xu, Guohao Yu, Yiming Cui +10
Understanding a plant's root system architecture (RSA) is crucial for a variety of plant science problem domains including sustainability and climate adaptation. Minirhizotron (MR)…
The Weakly-Labeled Rand Index
Dylan Stewart, Anna Hampton, Alina Zare +2
Synthetic Aperture Sonar (SAS) surveys produce imagery with large regions of transition between seabed types. Due to these regions, it is difficult to label and segment the imagery…
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…
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu, Alina Zare, Weihuang Xu +4
We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are u…
Outlier Detection through Null Space Analysis of Neural Networks
Matthew Cook, Alina Zare, Paul Gader
Many machine learning classification systems lack competency awareness. Specifically, many systems lack the ability to identify when outliers (e.g., samples that are distinct from…
Super Resolution for Root Imaging
Jose F. Ruiz-Munoz, Jyothier K. Nimmagadda, Tyler G. Dowd +2
High-resolution cameras have become very helpful for plant phenotyping by providing a mechanism for tasks such as target versus background discrimination, and the measurement and a…