1 code implementation • 4 Mar 2023 • Jing Wu, David Pichler, Daniel Marley, David Wilson, Naira Hovakimyan, Jennifer Hobbs
First, we generate and release an improved version of the Agriculture-Vision dataset (Chiu et al., 2020b) to include raw, full-field imagery for greater experimental flexibility.
1 code implementation • 21 Apr 2020 • Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially for the semantic segmentation task associated with our challenge dataset.
no code implementations • 16 Oct 2019 • Matthew Holbrook, Jennifer Hobbs, Patrick Lucey
Sporting events are extremely complex and require a multitude of metrics to accurate describe the event.
no code implementations • 30 Dec 2019 • Jennifer Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey
Central to all machine learning algorithms is data representation.
no code implementations • 17 Dec 2020 • Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs
Next, we construct our proposed spatiotemporal architecture, which combines a UNet with a convolutional LSTM layer, to accurately detect regions of the field showing NDS; this approach has an impressive IOU score of 0. 53.
no code implementations • 9 Feb 2021 • Jennifer Hobbs, Ivan Dozier, Naira Hovakimyan
"No-till" and cover cropping are often identified as the leading simple, best management practices for carbon sequestration in agriculture.
no code implementations • 20 Apr 2021 • Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer Hobbs
Advances in remote sensing technology have led to the capture of massive amounts of data.
no code implementations • ICCV 2023 • Jing Wu, Jennifer Hobbs, Naira Hovakimyan
Contrastive learning models based on Siamese structure have demonstrated remarkable performance in self-supervised learning.
no code implementations • 27 Jul 2023 • Jing Wu, Naira Hovakimyan, Jennifer Hobbs
We demonstrate the effectiveness of our method in improving few-shot learning performance on two key remote sensing datasets: Agriculture-Vision and EuroSAT.