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dc.contributor.advisor 좌훈승 -
dc.contributor.author Young Eun Kang -
dc.date.accessioned 2023-09-18T21:01:22Z -
dc.date.available 2024-02-28T06:00:28Z -
dc.date.issued 2023 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46449 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000684351 -
dc.description "Real-time systems"; "Object Detection"; "Neural Network" -
dc.description.tableofcontents Ⅰ.Introduction 1
Ⅱ.Related Work 5
Ⅲ.Target System and Motivation 7
3.1 Target System: DNN-based Object Detection 7
3.2 Feasibility of System Model 8
Ⅳ.System Design 12
4.1 System Goal and Overview 12
4.2 Merge-Canvas Size Decision Module 13
4.3 Localization Module: Paste 16
4.4 Classification Module: Cut 16
4.4.1 RoI Size Decision 17
4.4.2 Recursive Packing 18
Ⅴ. Evaluation 20
5.1 Experiment Setup 20
5.2 Experimental Results 21
5.2.1 Deadline Miss Ratio 21
5.2.2 Detection Accuracy 24
5.2.3 Execution time breakdown 27
Ⅵ. Conclusion 29
References 30
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dc.format.extent 32 -
dc.language eng -
dc.publisher DGIST -
dc.title Paste-and-Cut : Collective Image Localization and Classification for Real-Time Multi-Camera Object Detection -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200000684351 -
dc.description.degree Master -
dc.contributor.department Department of Electrical Engineering and Computer Science -
dc.contributor.coadvisor Yeseong Kim -
dc.date.awarded 2023-08-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 강64 202308 -
dc.date.accepted 2023-09-14 -
dc.contributor.alternativeDepartment 전기전자컴퓨터공학과 -
dc.subject.keyword Real-time systems -
dc.subject.keyword Object Detection -
dc.subject.keyword Neural Network -
dc.contributor.affiliatedAuthor Young Eun Kang -
dc.contributor.affiliatedAuthor Hoon Sung Chwa -
dc.contributor.affiliatedAuthor Yeseong Kim -
dc.contributor.alternativeName 강영은 -
dc.contributor.alternativeName Hoon Sung Chwa -
dc.contributor.alternativeName 김예성 -
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Department of Electrical Engineering and Computer Science Theses Master

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