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"AdaptorNAS: A New Perturbation-based Neural Architecture Search for Hy" by Sui Paul Ang, Son Lam Phung et al.

Hyperspectral image segmentation is an emerging area with numerous applications, including agriculture, forestry, environment monitoring, and remote sensing. This paper proposes a new neural architecture search algorithm, named AdaptorNAS, for hyperspectral image segmentation. AdaptorNAS aims to design the optimum decoder for any given encoder. In our approach, the search space of AdaptorNAS is a large deep neural network (DNN), and the optimal decoder is derived by pruning the large DNN via a p...
Biosecurity Scanning Computer Architecture Deep Learning Feature Extraction Yperspectral Image Segmentation Hyperspectral Imaging
Source: uow.edu.au

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