Multimodal few-shot classification without attribute embedding

• المؤلفون الرئيسيون: Chang, Jun Qing, Rajan, Deepu, Vun, Nicholas
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Multimodal learning; Few-shot classifcation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175469

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...