MoE-Adapters++ : Towards More Efficient Continual Learning of Vision-Language Models via Dynamic Mixture-of-Experts Adapters
In this paper, we first propose MoE-Adapters, a parameter-efficient training framework to alleviate long-term forgetting issues in incremental learning with Vision-Language Models (VLM). Our MoE-Adapters leverages incrementally added routers to activate and integrate exclusive expert adapters from a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 11. Aug.
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| 1. Verfasser: |
Yu, Jiazuo
(VerfasserIn) |
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| Weitere Verfasser: |
Huang, Zichen,
Zhuge, Yunzhi,
Zhang, Lu,
Hu, Ping,
Wang, Dong,
Lu, Huchuan,
He, You |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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