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Junze Shi

1 accepted papers

2026

Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking

AAAI 2026technical

Recent advances in transformer-based lightweight object tracking have established new standards across benchmarks, leveraging the global receptive field and powerful feature extraction capabilities of attention mechanisms. Despite these achievements, existing methods universally employ sparse sampli

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