A Weakly Supervised Transfer Learning Approach for Radar Sounder Data Segmentation-Reference-Cited by-同舟云学术

A Weakly Supervised Transfer Learning Approach for Radar Sounder Data Segmentation

Author:

García Miguel Hoyo¹^ORCID,Donini Elena¹^ORCID,Bovolo Francesca¹^ORCID

Affiliation:

1. Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy

Funder

Italian Space Agency through the Attività Scientifiche per JUICE fase C-D through Contract Agenzia Spaziale Italian—Istituto Nazionale di Astrofisica

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference37 articles.

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2. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv 1704 04861,2017

3. W-Net: A deep model for fully unsupervised image segmentation;xia;arXiv 1711 08506,2017

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