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Not All Classes Stand on Same Embeddings:Calibrating a Semantic Distance with Metric Tensor
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 조성인 | - |
| dc.date.accessioned | 2025-01-18T00:02:02Z | - |
| dc.date.available | 2025-01-18T00:02:02Z | - |
| dc.date.issued | 2024-06-19 | - |
| dc.identifier.issn | 0162-8828 | - |
| dc.identifier.issn | 1939-3539 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/57213 | - |
| dc.title | Not All Classes Stand on Same Embeddings:Calibrating a Semantic Distance with Metric Tensor | - |
| dc.type | Conference | - |
| dc.citation.title | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
| dc.citation.startPage | 17722 | - |
| dc.citation.endPage | 17731 | - |
| dc.citation.conferenceName | The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024 | - |
| dc.citation.conferencePlace | 미국 | - |
| dc.citation.conferenceDate | 2024-06-19 ~ 2024-06-21 | - |
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