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Found 4 papers, 2 papers with code
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
Despite a large number of public repositories for both georeferenced photographs and aerial images, there is a lack of benchmark datasets that allow the development of approaches that exploit the benefits and complementarity of aerial/ground imagery.
BrazilDAM: A Benchmark dataset for Tailings Dam Detection
In the experiments, we achieved an average classification accuracy of 94. 11% in tailing dam binary classification task.
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
We merge these unsupervised networks with supervised deep semantic segmentation architectures in order to create a semi-supervised method capable of learning from both unlabeled and labeled data, whenever labeling is available.
A Comparative Study on Unsupervised Domain Adaptation Approaches for Coffee Crop Mapping
In this work, we investigate the application of existing unsupervised domain adaptation (UDA) approaches to the task of transferring knowledge between crop regions having different coffee patterns.
