Multimodal few-shot classification without attribute embedding

Multimodal few-shot learning aims to exploit complementary information inherent in multiple modalities for vision tasks in low data scenarios. Most of the current research focuses on a suitable embedding space for the various modalities. While solutions based on embedding provide state-of-the-art re...

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Main Authors: Chang, Jun Qing, Rajan, Deepu, Vun, Nicholas
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/175469
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機構: Nanyang Technological University
語言: English