Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
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Apache License 2.0
SAMURAI is a zero-shot visual tracking method that adapts the Segment Anything Model (SAM 2) for video tracking by incorporating motion-aware memory. It is designed for researchers and developers working on visual object tracking tasks, offering state-of-the-art performance on benchmarks like LaSOT, GOT-10k, and OTB-2015 without requiring task-specific training.
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