Weakly supervised semantic segmentation using constrained dominant sets
| dc.contributor.author | Aslan S. | |
| dc.contributor.author | Pelillo M. | |
| dc.date.accessioned | 2019-10-26T21:12:49Z | |
| dc.date.available | 2019-10-26T21:12:49Z | |
| dc.date.issued | 2019 | |
| dc.department | Ege Üniversitesi | en_US |
| dc.description | 20th International Conference on Image Analysis and Processing, ICIAP 2019 -- 9 September 2019 through 13 September 2019 -- 231579 | en_US |
| dc.description.abstract | The availability of large-scale data sets is an essential prerequisite for deep learning based semantic segmentation schemes. Since obtaining pixel-level labels is extremely expensive, supervising deep semantic segmentation networks using low-cost weak annotations has been an attractive research problem in recent years. In this work, we explore the potential of Constrained Dominant Sets (CDS) for generating multi-labeled full mask predictions to train a fully convolutional network (FCN) for semantic segmentation. Our experimental results show that using CDS’s yields higher-quality mask predictions compared to methods that have been adopted in the literature for the same purpose. © Springer Nature Switzerland AG 2019. | en_US |
| dc.description.sponsorship | 1059B191701102, BIDEB-2219 Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÃ?BITAK | en_US |
| dc.description.sponsorship | This work is supported by The Scientific and Technological Research Council of Turkey under TUBITAK BIDEB-2219 grant no 1059B191701102. -- | en_US |
| dc.identifier.doi | 10.1007/978-3-030-30645-8_39 | |
| dc.identifier.endpage | 436 | en_US |
| dc.identifier.isbn | 9783030306441 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.issn | 0302-9743 | en_US |
| dc.identifier.scopusquality | Q3 | en_US |
| dc.identifier.startpage | 425 | en_US |
| dc.identifier.uri | https://doi.org/10.1007/978-3-030-30645-8_39 | |
| dc.identifier.uri | https://hdl.handle.net/11454/15745 | |
| dc.identifier.volume | 11752 LNCS | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Verlag | en_US |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Constrained Dominant Sets | en_US |
| dc.subject | Dominant sets | en_US |
| dc.subject | Semantic image segmentation | en_US |
| dc.subject | Weak training set annotations | en_US |
| dc.subject | Weakly supervised semantic segmentation | en_US |
| dc.title | Weakly supervised semantic segmentation using constrained dominant sets | en_US |
| dc.type | Conference Object | en_US |
