Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 임성훈 | - |
| dc.contributor.author | Hojin Kim | - |
| dc.date.accessioned | 2023-03-22T19:57:24Z | - |
| dc.date.available | 2023-03-23T06:00:24Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/45752 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000653859 | - |
| dc.description | Video Instance Segmentation (VIS), Knowledge Distillation | - |
| dc.description.tableofcontents | I. Introduction 1 II. Related Work 3 III. Proposed method 4 3.1 Online VIS model 5 3.2 Offline Knowledge Extraction 5 3.3 Offline-to-Online Knowledge Distillation 6 3.4 Minor-Paste 7 IV. Experiments 8 4.1 Experimental Setup 8 4.2 Comparison to State-of-the-art Methods 9 4.3 Ablation Study 12 V. Conclusion 16 VI. References 17 VII. 요약문 22 |
- |
| dc.format.extent | 22 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.title | Video Instance Segmentation using Knowledge Distillation | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/THESIS.200000653859 | - |
| 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 김95 202302 | - |
| dc.date.accepted | 2023-03-21 | - |
| dc.contributor.alternativeDepartment | 전기전자컴퓨터공학과 | - |
| dc.subject.keyword | Video Instance Segmentation (VIS) | - |
| dc.subject.keyword | Knowledge Distillation | - |
| dc.contributor.affiliatedAuthor | Hojin Kim | - |
| dc.contributor.affiliatedAuthor | Sunghoon Im | - |
| dc.contributor.affiliatedAuthor | Kyong Hwan Jin | - |
| dc.contributor.alternativeName | 김호진 | - |
| dc.contributor.alternativeName | Sunghoon Im | - |
| dc.contributor.alternativeName | 진경환 | - |
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