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The Univer- sity of Hong Kong
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Foundation models are revolutionizing monocular depth estimation, achieving unprecedented accuracy and robustness in real-world applications.
Static sample selection in reinforcement fine-tuning is a recipe for suboptimal updates鈥擠IEM adapts dynamically, leading to superior performance on reasoning tasks.
