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IRDFusion: Iterative relation-map difference guided feature fusion for multispectral object detection
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DOI：10.1016/j.patcog.2026.113189.png)
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摘要
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• A Mutual Feature Refinement Module (MFRM) is proposed to enhance modalspecific features of object candidates between two modalities, ensuring robust feature alignment. • Inspired by the feedback differential amplifier circuits, a Differential Feature Feedback Module (DFFM) is proposed to calculate complementary discriminative features between the two modalities and simultaneously filters redundant information. • The MFRM and DFFM are jointly optimized to effectively integrate discriminative complementary information from different modalities through a dynamic differential relationship map feedback mechanism, which provides a new strategy for progressive multispectral feature fusion. • The proposed method IRDFusion, building on MFRM and DFFM, achieves state-of-the-art performance on the FLIR, LLVIP and M3FD dataset.
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
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