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dc.contributor.advisor 임성훈 -
dc.contributor.author Jinwoo Bae -
dc.date.accessioned 2023-03-22T19:57:29Z -
dc.date.available 2023-03-23T06:00:21Z -
dc.date.issued 2023 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/45756 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000653335 -
dc.description Monocular depth estimation, Generalization, Out-of-Distribution -
dc.description.tableofcontents Ⅰ. Introduction 1
Ⅱ. Related Work 2
2.1 Self-supervised monocular depth estimation 2
2.2 Supervised monocular depth estimation 2
2.3 Vision Transformers 3
2.4 Modernized Architecture 4
Ⅲ. Method 4
3.1 CNN-Transformer Encoder 5
3.2 Attention Connection Module 6
3.3 Feature Fusion Decoder 7
Ⅳ. Experimental Results 7
4.1 Comparison on KITTI datasets 8
4.2 Analysis of texture-/shape-bias on CNN and Transformer 9
4.3 Analysis of Generalization performance 18
4.4 Analysis of feature representation on CNN and Transformer 21
Ⅴ. Conclusion 23
Ⅵ. References 25
Ⅶ. 요약문 31
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dc.format.extent 31 -
dc.language eng -
dc.publisher DGIST -
dc.title A Study on the Generality of a DNN-Based Monocular Depth Estimation -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200000653335 -
dc.description.degree Master -
dc.contributor.department Department of Electrical Engineering and Computer Science -
dc.contributor.coadvisor Kyong Hwan Jin -
dc.date.awarded 2023-02-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 배78 202302 -
dc.date.accepted 2023-03-21 -
dc.contributor.alternativeDepartment 전기전자컴퓨터공학과 -
dc.subject.keyword Monocular depth estimation -
dc.subject.keyword Generalization -
dc.subject.keyword Out-of-Distribution -
dc.contributor.affiliatedAuthor Jinwoo Bae -
dc.contributor.affiliatedAuthor Sunghoon Im -
dc.contributor.affiliatedAuthor Kyong Hwan Jin -
dc.contributor.alternativeName 배진우 -
dc.contributor.alternativeName Sunghoon Im -
dc.contributor.alternativeName 진경환 -
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Department of Electrical Engineering and Computer Science Theses Master

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