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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Lee, Seul-Ki | - |
| dc.contributor.author | Lee, Jae-Wook | - |
| dc.date.accessioned | 2025-04-04T13:48:07Z | - |
| dc.date.available | 2025-04-04T13:48:07Z | - |
| dc.date.issued | 2025-02 | - |
| dc.description.degree | Master | - |
| dc.description | Graduate School of Artificial Intelligence | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86367 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000849392 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | ondeviceAI | - |
| dc.subject | CNN | - |
| dc.subject | Memory-Efficient | - |
| dc.subject | Convolutional Neural Network | - |
| dc.subject | On-device AI | - |
| dc.subject | Image Classification | - |
| dc.subject | Object Detection | - |
| dc.title | Patch Tunneling and Bottleneck Reordering for Extremely Low-Memory Image Classification and Object Detection | - |
| dc.type | Thesis | - |
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