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Fusing semantic and geometric cues yields more robust and discriminative local features, outperforming methods relying on single appearance cues.
Achieve 28% better point tracking by asynchronously fusing frames and events with a novel transformer architecture that bridges the gap between low-rate frames and high-rate events.
