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GMMT

Generative-based Fusion Mechanism for Multi-modal Object Tracking

This work explores the potential of fusing the multi-modal information via generative models. Conditional GAN and diffusion model are involved. The results show that the GMs can produce better performance by generating features with less noise.

Pipeline

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Resuts on GTOT

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Resuts on RGBT234 and LasHeR

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Resuts on RGBD1K

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