AIBullisharXiv – CS AI · 8h ago6/10
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RELO: Reinforcement Learning to Localize for Visual Object Tracking
Researchers introduce RELO, a reinforcement learning method for visual object tracking that replaces traditional handcrafted spatial priors with a learned localization policy optimized directly for tracking metrics like IoU and AUC. The approach achieves state-of-the-art results on LaSOText benchmarks, demonstrating that reward-driven localization outperforms conventional prior-based methods.