Abstract
We propose a simple method of transfer learning for image segmentation. Creating labeled data for deep neural network training in image segmentation is particularly expensive than other tasks. Hence, practically, the labeled data is much less than the unlabeled data. So, we introduce a method that is helpful for segmentation by using unlabeled data. Our key is the RGB-to-HSV transformation and we use it in two ways. The first way is to pre-train a network to work as an RGB-to-HSV transformer which can extract useful features, and transfer the pre-trained weights to another network for segmentation, which is one of the most common transfer learning method. The second way is to provide additional information to the segmented network by providing HSV, the output of the pre-trained network, as additional input. We performed several experiments about our proposal using Cityscapes dataset.
Original language | English |
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Title of host publication | ICTC 2020 - 11th International Conference on ICT Convergence |
Subtitle of host publication | Data, Network, and AI in the Age of Untact |
Publisher | IEEE Computer Society |
Pages | 387-390 |
Number of pages | 4 |
ISBN (Electronic) | 9781728167589 |
DOIs | |
Publication status | Published - 2020 Oct 21 |
Event | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 2020 Oct 21 → 2020 Oct 23 |
Publication series
Name | International Conference on ICT Convergence |
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Volume | 2020-October |
ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 20/10/21 → 20/10/23 |
Bibliographical note
Funding Information:”This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)“
Publisher Copyright:
© 2020 IEEE.
Keywords
- HSV transformation
- Image segmentation
- Transfer learning
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications