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Cross-object alignment among geometrically similar interaction regions during training enables structures on unseen objects that resemble previously observed ones to produce representations similar to those learned during training, facilitating target-region recognition.
Latent visual reasoning equips vision--language models with continuous intermediate states that can process visual evidence without explicit textual reasoning traces or repeated image operations. However, existing methods often allow multiple latent tokens to access the same visual evidence through shared value project...
This paper proposes VisualRouter, a training-free and plug-and-play framework for query-grounded visual sampling, which consistently improves multiple LVLMs over uniform sampling, and outperforming existing training-free visual sampling methods under the same setting.
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