Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박상현 | - |
| dc.contributor.author | Tashfeen Abdul Muqeet Bin | - |
| dc.date.accessioned | 2023-03-22T19:56:41Z | - |
| dc.date.available | 2023-03-22T19:56:41Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/45709 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000653398 | - |
| dc.description | Anomaly Detection, Deep learning, Self-Supervised Learning, Knowledge Distillation | - |
| dc.description.tableofcontents | I. Introduction 1 II. Related Works 4 1 Reconstruction-based anomaly detection 4 2 Representation-based anomaly detection 5 III. Proposed Framework 7 1 Overview 7 2 Feature Extraction 8 3 CutPaste Augmentation 8 4 Knowledge Distillation with Contrastive Task 9 5 Anomaly Scoring Metric 12 6 Inference 12 IV. Experiments and Results 14 1 Experimental setup 14 1.1 Datasets 14 1.2 Implementation Details 15 1.3 Baselines 16 2 Comparison with State-of-the-Art Methods 17 2.1 MVTec-LOCO dataset 17 2.2 MVTec-AD dataset 18 2.3 CIFAR10 dataset 19 V. Ablation Study 21 1 Task Influence 21 2 Multi-Head Attention Influence 21 3 CutPaste Variants Influence 22 4 Contrastive Transformations influence 22 VI. Discussion 24 VII. Conclusion 25 References 26 |
- |
| dc.format.extent | 30 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.title | Unsupervised Anomaly Detection Using Self-Supervised Learning with Knowledge Distillation | - |
| dc.title.alternative | 지식 증류와 자기지도 학습을 이용한 비지도 이상 감지 | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/THESIS.200000653398 | - |
| dc.description.degree | Master | - |
| dc.contributor.department | Department of Robotics and Mechatronics Engineering | - |
| dc.contributor.coadvisor | Okkyun Lee | - |
| dc.date.awarded | 2023-02-01 | - |
| dc.publisher.location | Daegu | - |
| dc.description.database | dCollection | - |
| dc.citation | XT.RM T197 202302 | - |
| dc.date.accepted | 2023-03-21 | - |
| dc.contributor.alternativeDepartment | 로봇및기계전자공학과 | - |
| dc.subject.keyword | Anomaly Detection | - |
| dc.subject.keyword | Deep learning | - |
| dc.subject.keyword | Self-Supervised Learning | - |
| dc.subject.keyword | Knowledge Distillation | - |
| dc.contributor.affiliatedAuthor | Tashfeen Abdul Muqeet Bin | - |
| dc.contributor.affiliatedAuthor | Sang Hyun Park | - |
| dc.contributor.affiliatedAuthor | Okkyun Lee | - |
| dc.contributor.alternativeName | Tashfeen Abdul Muqeet Bin | - |
| dc.contributor.alternativeName | Sang Hyun Park | - |
| dc.contributor.alternativeName | 이옥균 | - |
| dc.rights.embargoReleaseDate | 2025-02-28 | - |
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