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Found 5 papers, 3 papers with code
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
By introducing this dataset, we aim to facilitate the automatic segmentation of roots and the research of RSA with deep learning and other image analysis algorithms.
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
In order to better represent statistical texture information for remote-sensing image classification, in this paper, we investigate performing joint dimensionality reduction and classification using a novel histogram neural network.
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
The proposed approach outperforms other attention map and multiple instance learning methods for localization of root objects in minirhizotron imagery.
Histogram Layers for Texture Analysis
We present a histogram layer for artificial neural networks (ANNs).
Overcoming Small Minirhizotron Datasets Using Transfer Learning
A key component of automated analysis of plant roots from imagery is the automated pixel-level segmentation of roots from their surrounding soil.
