Hierarchical matching and reasoning for multi-query image retrieval

Published: 01 Jan 2024, Last Modified: 15 May 2025Neural Networks 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Cope with the difficulties arising from the heterogeneous gap between images and multiple detailed text queries.•Design a hierarchical structure to explore and aggregate diverse semantical characteristics.•Perform multi-level matching to facilitate the fine-grained alignments.•Conduct high-level reasoning to mine the inherent intra-correlations and inter-correlations.•Significantly outperform the state-of-the-art methods by more than 20% on the R@1 metric.
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