Matches in SemOpenAlex for { <https://semopenalex.org/work/W2958045237> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2958045237 abstract "In this paper we propose a deep learning based depth estimation method for monocular RGB sequences. We train a pair of encoder-decoder network to resolve depth information form image pairs and relative camera poses. To solve scale ambiguous of monocular sequences, a conditional generative adversarial network is applied. Experimental results show that the proposed method can overcome the problem of scale ambiguous and therefore is more suitable for a variety of applications." @default.
- W2958045237 created "2019-07-23" @default.
- W2958045237 creator A5008844615 @default.
- W2958045237 creator A5037071873 @default.
- W2958045237 creator A5062369912 @default.
- W2958045237 date "2019-01-01" @default.
- W2958045237 modified "2023-09-26" @default.
- W2958045237 title "Scale Invariant Multi-view Depth Estimation Network with cGAN Refinement" @default.
- W2958045237 cites W1901129140 @default.
- W2958045237 cites W1985238052 @default.
- W2958045237 cites W2021851106 @default.
- W2958045237 cites W2093659073 @default.
- W2958045237 cites W2105303354 @default.
- W2958045237 cites W2561074213 @default.
- W2958045237 cites W2891048446 @default.
- W2958045237 cites W2964009301 @default.
- W2958045237 cites W3102327032 @default.
- W2958045237 cites W612478963 @default.
- W2958045237 doi "https://doi.org/10.1007/978-981-13-9190-3_75" @default.
- W2958045237 hasPublicationYear "2019" @default.
- W2958045237 type Work @default.
- W2958045237 sameAs 2958045237 @default.
- W2958045237 citedByCount "0" @default.
- W2958045237 crossrefType "book-chapter" @default.
- W2958045237 hasAuthorship W2958045237A5008844615 @default.
- W2958045237 hasAuthorship W2958045237A5037071873 @default.
- W2958045237 hasAuthorship W2958045237A5062369912 @default.
- W2958045237 hasConcept C111919701 @default.
- W2958045237 hasConcept C11413529 @default.
- W2958045237 hasConcept C115961682 @default.
- W2958045237 hasConcept C118505674 @default.
- W2958045237 hasConcept C153180895 @default.
- W2958045237 hasConcept C154945302 @default.
- W2958045237 hasConcept C190470478 @default.
- W2958045237 hasConcept C205649164 @default.
- W2958045237 hasConcept C2776214188 @default.
- W2958045237 hasConcept C2778755073 @default.
- W2958045237 hasConcept C2988773926 @default.
- W2958045237 hasConcept C31972630 @default.
- W2958045237 hasConcept C33923547 @default.
- W2958045237 hasConcept C37914503 @default.
- W2958045237 hasConcept C39890363 @default.
- W2958045237 hasConcept C41008148 @default.
- W2958045237 hasConcept C58640448 @default.
- W2958045237 hasConcept C65909025 @default.
- W2958045237 hasConcept C82990744 @default.
- W2958045237 hasConceptScore W2958045237C111919701 @default.
- W2958045237 hasConceptScore W2958045237C11413529 @default.
- W2958045237 hasConceptScore W2958045237C115961682 @default.
- W2958045237 hasConceptScore W2958045237C118505674 @default.
- W2958045237 hasConceptScore W2958045237C153180895 @default.
- W2958045237 hasConceptScore W2958045237C154945302 @default.
- W2958045237 hasConceptScore W2958045237C190470478 @default.
- W2958045237 hasConceptScore W2958045237C205649164 @default.
- W2958045237 hasConceptScore W2958045237C2776214188 @default.
- W2958045237 hasConceptScore W2958045237C2778755073 @default.
- W2958045237 hasConceptScore W2958045237C2988773926 @default.
- W2958045237 hasConceptScore W2958045237C31972630 @default.
- W2958045237 hasConceptScore W2958045237C33923547 @default.
- W2958045237 hasConceptScore W2958045237C37914503 @default.
- W2958045237 hasConceptScore W2958045237C39890363 @default.
- W2958045237 hasConceptScore W2958045237C41008148 @default.
- W2958045237 hasConceptScore W2958045237C58640448 @default.
- W2958045237 hasConceptScore W2958045237C65909025 @default.
- W2958045237 hasConceptScore W2958045237C82990744 @default.
- W2958045237 hasLocation W29580452371 @default.
- W2958045237 hasOpenAccess W2958045237 @default.
- W2958045237 hasPrimaryLocation W29580452371 @default.
- W2958045237 hasRelatedWork W2611932403 @default.
- W2958045237 hasRelatedWork W2743237568 @default.
- W2958045237 hasRelatedWork W2794771666 @default.
- W2958045237 hasRelatedWork W2958045237 @default.
- W2958045237 hasRelatedWork W2980953096 @default.
- W2958045237 hasRelatedWork W2999347377 @default.
- W2958045237 hasRelatedWork W3010888991 @default.
- W2958045237 hasRelatedWork W3023597870 @default.
- W2958045237 hasRelatedWork W3171032126 @default.
- W2958045237 hasRelatedWork W4287126618 @default.
- W2958045237 isParatext "false" @default.
- W2958045237 isRetracted "false" @default.
- W2958045237 magId "2958045237" @default.
- W2958045237 workType "book-chapter" @default.