A three-stage ViT with sparsity-aware MoE and adaptive inference depth delivers improved accuracy-efficiency trade-off for event-stream visual tracking on FE240hz, COESOT, and EventVOT benchmarks.
Ssf-net: Spatial-spectral fusion network with spectral angle awareness for hyperspectral object tracking,
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Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking
A three-stage ViT with sparsity-aware MoE and adaptive inference depth delivers improved accuracy-efficiency trade-off for event-stream visual tracking on FE240hz, COESOT, and EventVOT benchmarks.