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URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Seonguk | - |
dc.contributor.author | Lee, Joon-Young | - |
dc.contributor.author | Han, Bohyung | - |
dc.date.accessioned | 2023-12-11T01:10:09Z | - |
dc.date.available | 2023-12-11T01:10:09Z | - |
dc.date.created | 2021-10-07 | - |
dc.date.issued | 2020-08 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.12360 LNCS, pp.208-223 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/10371/197919 | - |
dc.description.abstract | We propose a unified referring video object segmentation network (URVOS). URVOS takes a video and a referring expression as inputs, and estimates the object masks referred by the given language expression in the whole video frames. Our algorithm addresses the challenging problem by performing language-based object segmentation and mask propagation jointly using a single deep neural network with a proper combination of two attention models. In addition, we construct the first large-scale referring video object segmentation dataset called Refer-Youtube-VOS. We evaluate our model on two benchmark datasets including ours and demonstrate the effectiveness of the proposed approach. The dataset is released at https://github.com/skynbe/Refer-Youtube-VOS. | - |
dc.language | 영어 | - |
dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
dc.title | URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-030-58555-6_13 | - |
dc.citation.journaltitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.identifier.scopusid | 2-s2.0-85097435887 | - |
dc.citation.endpage | 223 | - |
dc.citation.startpage | 208 | - |
dc.citation.volume | 12360 LNCS | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Han, Bohyung | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
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