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Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging

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IEEE ICASSP 2020 Virtual Conference May 2020

This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied in aerial vegetation images from Teide National Park. It proposes a Deep Seeded Region Growing system which consists on trainin

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Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging

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This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied in aerial vegetation images from Teide National Park. It proposes a Deep Seeded Region Growing system which consists on trainin