[QA] SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

from Arxiv Papers · host Igor Melnyk

SAMURAI enhances the Segment Anything Model 2 for visual object tracking, improving accuracy and robustness in crowded scenes through motion-aware memory selection, achieving significant performance gains without retraining. https://arxiv.org/abs//2411.11922 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Nov 23, 2024

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[QA] SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

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