67 citations · 134 across the 5 of their papers we have counts for
5 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)…
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,…
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…
Histogram Layers for Texture Analysis
Joshua Peeples, Weihuang Xu, Alina Zare
An essential aspect of texture analysis is the extraction of features that describe the distribution of values in local, spatial regions. We present a localized histogram layer for…
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Weihuang Xu, Guohao Yu, Alina Zare +6
Minirhizotron technology is widely used for studying the development of roots. Such systems collect visible-wavelength color imagery of plant roots in-situ by scanning an imaging s…