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- Title
Corrigendum: Large-Scale Counting and Localization of Pineapple Inflorescence Through Deep Density-Estimation.
- Authors
Hobbs, Jennifer; Prakash, Prajwal; Paull, Robert; Hovhannisyan, Harutyun; Markowicz, Bernard; Rose, Greg
- Abstract
Deep learning-artificial neural network (DL-ANN), active learning, pineapple, computer vision, remote sensing-GIS, weakly supervised, counting, density estimation Graph: Figure 8 Increasing the amount of (labeled) training data in a smart fashion decreases test loss as well as the MAE on the test set. Keywords: deep learning-artificial neural network (DL-ANN); active learning; pineapple; computer vision; remote sensing-GIS; weakly supervised; counting; density estimation EN deep learning-artificial neural network (DL-ANN) active learning pineapple computer vision remote sensing-GIS weakly supervised counting density estimation N.PAG N.PAG 2 05/21/21 20210517 NES 210517 In the original article, there was a mistake in Figure 8 as published.
- Subjects
INFLORESCENCES; COUNTING; PINEAPPLE; COMPUTER vision; BOTANY
- Publication
Frontiers in Plant Science, 2021, Vol 12, pN.PAG
- ISSN
1664-462X
- Publication type
Correction Notice
- DOI
10.3389/fpls.2021.695397