SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
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SAMURAI Robust Object Tracking without ANY TRAINING!
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SAMURAI vs. Meta's SAM 2 👀 Traditional visual object tracking struggles in crowded, fast-moving, or self-occluded scenes, as does Meta Segment Anythihg Model 2 (SAM 2). SAMURAI is a new, completely open-source adaptation of the Segment Anything Model from Meta for zero-shot visual tracking. - paper: https://arxiv.org/pdf/2411.11922 - code: https://github.com/yangchris11/samurai - license: Apache-2.0 (🎥: yangchris11/GitHub) 🎥 Source: 1917
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AI researches | AI on Instagram: "SAMURAI Takes on SAM 2 👀 Traditional visual object tracking faces challenges in crowded, fast-moving, or self-occluded scenarios—and Meta’s Segment Anything Model 2 (SAM 2) is no exception. Enter SAMURAI, an innovative, fully open-source adaptation of Meta's Segment Anything Model designed for zero-shot visual tracking. Paper: arxiv.org/2411.11922 Code: github.com/yangchris11/samurai License: Apache-2.0 📽️ Clip by: yangchris11/GitHub 📽️ Source: 1917 ➡️ Stay a
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