11 citations · 12 across the 2 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
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
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…
cs.CV2018
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
Philipe A. Dias, Henry Medeiros
Despite recent improvements using fully convolutional networks, in general, the segmentation produced by most state-of-the-art semantic segmentation methods does not show satisfact…