| https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/51/3710 +
, https://dblp.org/pid/320/0945 +
, https://dblp.org/pid/320/0806 +
, https://dblp.org/pid/152/4429 +
, https://dblp.org/pid/320/0668 +
, https://dblp.org/pid/168/9637 +
, https://dblp.org/pid/55/2162 +
, https://dblp.org/pid/18/4625-11 +
, https://dblp.org/pid/80/253 +
, https://dblp.org/pid/91/5779 +
, https://dblp.org/pid/07/1395 +
, https://dblp.org/pid/43/3362 +
, https://dblp.org/pid/95/5329 +
, https://dblp.org/pid/76/1343 +
, https://dblp.org/pid/146/1605 +
, https://dblp.org/pid/256/7630 +
|
| https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Article +
|
| https://dblp.org/rdf/schema#createdBy
|
https://dblp.org/pid/51/3710 +
, https://dblp.org/pid/320/0945 +
, https://dblp.org/pid/320/0806 +
, https://dblp.org/pid/152/4429 +
, https://dblp.org/pid/320/0668 +
, https://dblp.org/pid/168/9637 +
, https://dblp.org/pid/55/2162 +
, https://dblp.org/pid/18/4625-11 +
, https://dblp.org/pid/80/253 +
, https://dblp.org/pid/91/5779 +
, https://dblp.org/pid/07/1395 +
, https://dblp.org/pid/43/3362 +
, https://dblp.org/pid/95/5329 +
, https://dblp.org/pid/76/1343 +
, https://dblp.org/pid/146/1605 +
, https://dblp.org/pid/256/7630 +
|
| https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.3389/FCOMP.2022.1036934 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.3389/FCOMP.2022.1036934 +
|
| https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/journals/fcomp/fcomp4 +
|
| https://dblp.org/rdf/schema#numberOfCreators
|
16
|
| https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.3389/FCOMP.2022.1036934 +
|
| https://dblp.org/rdf/schema#publishedIn
|
Frontiers Comput. Sci.
|
| https://dblp.org/rdf/schema#publishedInJournal
|
Frontiers Comput. Sci.
|
| https://dblp.org/rdf/schema#publishedInJournalVolume
|
4
|
| https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/journals/fcomp +
|
| https://dblp.org/rdf/schema#title
|
Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference.
|
| https://dblp.org/rdf/schema#yearOfPublication
|
2022
|
| owl:sameAs |
https://doi.org/10.3389/FCOMP.2022.1036934 +
, http://dx.doi.org/10.3389/FCOMP.2022.1036934 +
|
| rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Article +
|
| rdfs:label |
Yang Liu et al.: Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference. (2022)
|
