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20182022
most citedSelf-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species

18 citations · 29 across the 2 of their papers we have counts for

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cs.CV202218 cited

Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species

Abubakar Siddique, Amy Tabb, Henry Medeiros

Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection…

cs.CV201911 cited

FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces

Philipe A. Dias, Zhou Shen, Amy Tabb +1

Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundan…

cs.CV2018

Multispecies fruit flower detection using a refined semantic segmentation network

Philipe A. Dias, Amy Tabb, Henry Medeiros

In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is…

cs.CV2018

Segmenting root systems in X-ray computed tomography images using level sets

Amy Tabb, Keith E. Duncan, Christopher N. Topp

The segmentation of plant roots from soil and other growing media in X-ray computed tomography images is needed to effectively study the root system architecture without excavation…

cs.CV2018

Apple Flower Detection using Deep Convolutional Networks

Philipe A. Dias, Amy Tabb, Henry Medeiros

To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season. The proportion to be removed is determined by the b…