Progressive multi-subspace fusion for text-image matching
Abstract Text-image cross-model matching is a core challenge in multimodal machine learning, aiming to enable efficient retrieval of images and texts across different modalities. The difficulty in this task stems from the inherent gap between text and image representations, which can lead to subopti...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01946-1 |
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