GDSTrack combines modality-guided dynamic graph fusion with temporal graph-informed diffusion to train a self-supervised RGB-T tracker, outperforming prior self-supervised methods on multiple benchmarks.
Learning collabora- tive sparse representation for grayscale-thermal tracking
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Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
GDSTrack combines modality-guided dynamic graph fusion with temporal graph-informed diffusion to train a self-supervised RGB-T tracker, outperforming prior self-supervised methods on multiple benchmarks.