Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation
Author:
Affiliation:
1. Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, Esch-sur-Alzette, Luxembourg
2. German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
Funder
Fonds National de la Recherche, Luxembourg
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/9831196/09839567.pdf?arnumber=9839567
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4. From image-level to pixel-level labeling with Convolutional Networks
5. Pytorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,0
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