تقرير
Deep Mamba Multi-modal Learning
| العنوان: | Deep Mamba Multi-modal Learning |
|---|---|
| المؤلفون: | Zhu, Jian, Zou, Xin, Cui, Yu, Huang, Zhangmin, Hu, Chenshu, Lyu, Bo |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Multimedia |
| الوصف: | Inspired by the excellent performance of Mamba networks, we propose a novel Deep Mamba Multi-modal Learning (DMML). It can be used to achieve the fusion of multi-modal features. We apply DMML to the field of multimedia retrieval and propose an innovative Deep Mamba Multi-modal Hashing (DMMH) method. It combines the advantages of algorithm accuracy and inference speed. We validated the effectiveness of DMMH on three public datasets and achieved state-of-the-art results. Comment: Deep Mamba Multi-modal Learning; Deep Mamba Multi-modal Hashing |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.18007 |
| رقم الأكسشن: | edsarx.2406.18007 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |