Evaluating the classification of images from geoscience papers using small data-Reference-Cited by-同舟云学术

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Evaluating the classification of images from geoscience papers using small data

Published:2020-03 Issue: Volume:5 Page:100018
ISSN:2590-1974
Container-title:Applied Computing and Geosciences
language:en
Short-container-title:Applied Computing and Geosciences

Author:

Santos Jéssica S.,Ferreira Rodrigo S.,Silva Viviane T.

Publisher

Elsevier BV

Reference20 articles.

1. Algorithms for manifold learning;Cayton;Univ. California San Diego Tech. Rep.,2005

2. Active learning approaches for deforested area classification;Dallaqua,2018

3. Textural features for image classification;Haralick;IEEE Trans. Syst. Man Cybern.,1973

4. Deep residual learning for image recognition;He,2016

5. State-of-the-art approaches for image classification;Ionescu,2016

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2. Improving Data-Efficient Fossil Segmentation via Model Editing;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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