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Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission
Our focus in this work is solely on learning to reconstruct the high-resolution images on "real-world" data.
Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES Images
In this work, we investigate a Deep Learning (DL) approach to fish segmentation in a small dataset of noisy low-resolution images generated by a forward-looking multibeam echosounder (MBES).
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