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in Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning -
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in Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning -
Added resource Original Metadata to Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
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3 | "author": "Zelong Zeng", | 3 | "author": "Zelong Zeng", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2211.07566", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2211.07566", | ||
8 | "doi": "10.57702/urle1zln", | 8 | "doi": "10.57702/urle1zln", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-03", |
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Hong Liu", | 15 | "extra_author": "Hong Liu", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Fan Yang", | 19 | "extra_author": "Fan Yang", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Shin'ichi Satoh", | 23 | "extra_author": "Shin'ichi Satoh", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "", | 29 | "description": "", | ||
30 | "display_name": "Deep Metric Learning", | 30 | "display_name": "Deep Metric Learning", | ||
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33 | "name": "deep-metric-learning", | 33 | "name": "deep-metric-learning", | ||
34 | "title": "Deep Metric Learning" | 34 | "title": "Deep Metric Learning" | ||
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46 | "isopen": false, | 46 | "isopen": false, | ||
47 | "landing_page": "https://github.com/ZelongZeng/OBD-SD_Pytorch", | 47 | "landing_page": "https://github.com/ZelongZeng/OBD-SD_Pytorch", | ||
48 | "license_title": null, | 48 | "license_title": null, | ||
49 | "link_orkg": "", | 49 | "link_orkg": "", | ||
50 | "metadata_created": "2024-12-03T09:54:09.969500", | 50 | "metadata_created": "2024-12-03T09:54:09.969500", | ||
n | 51 | "metadata_modified": "2024-12-03T09:54:09.969506", | n | 51 | "metadata_modified": "2024-12-03T09:54:10.355284", |
52 | "name": | 52 | "name": | ||
53 | ith-online-di-usion-on-batch-manifolds-improves-deep-metric-learning", | 53 | ith-online-di-usion-on-batch-manifolds-improves-deep-metric-learning", | ||
54 | "notes": "Deep metric learning (DML) methods typically leverage | 54 | "notes": "Deep metric learning (DML) methods typically leverage | ||
55 | solely class labels to keep positive samples far away from negative | 55 | solely class labels to keep positive samples far away from negative | ||
56 | ones. However, this type of method normally ignores the crucial | 56 | ones. However, this type of method normally ignores the crucial | ||
57 | knowledge hidden in the data (e.g., intra-class information | 57 | knowledge hidden in the data (e.g., intra-class information | ||
58 | variation), which is harmful to the generalization of the trained | 58 | variation), which is harmful to the generalization of the trained | ||
59 | model. To alleviate this problem, in this paper we propose Online | 59 | model. To alleviate this problem, in this paper we propose Online | ||
60 | Batch Di\ufb00usion-based Self-Distillation (OBD-SD) for DML.", | 60 | Batch Di\ufb00usion-based Self-Distillation (OBD-SD) for DML.", | ||
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162 | Manifolds Improves Deep Metric Learning", | 203 | Manifolds Improves Deep Metric Learning", | ||
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