An adaptive feature fusion strategy using dual-layer attention and multi-modal deep reinforcement learning for all-media similarity search

Abstract This paper proposes a novel adaptive feature fusion strategy that combines a dual-layer attention mechanism and Multi-modal deep reinforcement learning (DRL) to optimize cross-modal information retrieval. The dual-layer attention mechanism enhances the model's ability to capture deep s...

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Bibliographic Details
Main Authors: Jin Yue, Jiayun Lang, Rui Feng
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Artificial Intelligence
Subjects:
Online Access:https://doi.org/10.1007/s44163-025-00332-7
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