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Found 2 papers, 1 papers with code
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i. e., the network becomes highly biased to the data it has been trained on.
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery
There is a growing demand for accurate high-resolution land cover maps in many fields, e. g., in land-use planning and biodiversity conservation.
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