no code implementations • 20 Jan 2022 • Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi
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.
1 code implementation • 31 Dec 2020 • Joshua Peeples, Sarah Walker, Connor McCurley, Alina Zare, James Keller, Weihuang Xu
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.
no code implementations • 30 Jul 2020 • Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger
The proposed approach outperforms other attention map and multiple instance learning methods for localization of root objects in minirhizotron imagery.
2 code implementations • 1 Jan 2020 • Joshua Peeples, Weihuang Xu, Alina Zare
We present a histogram layer for artificial neural networks (ANNs).
1 code implementation • 22 Mar 2019 • Weihuang Xu, Guohao Yu, Alina Zare, Brendan Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix B. Fritschi, Roser Matamala, Thomas E. Juenger
A key component of automated analysis of plant roots from imagery is the automated pixel-level segmentation of roots from their surrounding soil.