e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

dc.contributor.author	Salewski, Leonard
dc.contributor.author	Akata, Zeynep
dc.date.accessioned	2022-03-04T16:15:07Z
dc.date.available	2022-03-04T16:15:07Z
dc.date.issued	2021
dc.identifier.isbn	978-1-6654-2813-2
dc.identifier.isbn	978-1-6654-2812-5
dc.identifier.uri	http://hdl.handle.net/10900/125238
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://dx.doi.org/10.1109/ICCV48922.2021.00128	de_DE
dc.subject.ddc	004	de_DE
dc.title	e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Kayser, Maxime
utue.personen.roh	Camburu, Oana-Maria
utue.personen.roh	Salewski, Leonard
utue.personen.roh	Emde, Cornelius
utue.personen.roh	Do, Virginie
utue.personen.roh	Akata, Zeynep
utue.personen.roh	Lukasiewicz, Thomas
dcterms.isPartOf.ZSTitelID	2021 IEEE/CVF International Conference on Computer Vision (ICCV)	de_DE