Search Results for author: Jennifer Hobbs

Found 9 papers, 2 papers with code

Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis

no code implementations16 Oct 2019 Matthew Holbrook, Jennifer Hobbs, Patrick Lucey

Sporting events are extremely complex and require a multitude of metrics to accurate describe the event.

Multi-Task Learning

Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery

no code implementations17 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.

Semantic Segmentation

Residue Density Segmentation for Monitoring and Optimizing Tillage Practices

no code implementations9 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.

Management Probabilistic Deep Learning

Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis

1 code implementation4 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.

Benchmarking Contrastive Learning +1

GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing

no code implementations27 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.

Contrastive Learning Few-Shot Learning +2

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