RS-HyRe-R1 combines three rewards in RL training to overcome perceptual inertia in remote sensing VLMs, achieving SOTA results on REC, OVD, and VQA with a 3B-parameter model that outperforms larger ones.
degree in the School of Geosciences and Info-Physics, Central South University
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RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images Understanding
RS-HyRe-R1 combines three rewards in RL training to overcome perceptual inertia in remote sensing VLMs, achieving SOTA results on REC, OVD, and VQA with a 3B-parameter model that outperforms larger ones.