Abstract: Large Language Models (LLMs) have shown signif-icant promise as evolutionary optimizers. This paper introduces a novel LLM-based Optimizer (LLMO) to address Neural Archi-tecture Search ...
Abstract: Object pose estimation in open-world scenarios is a critical challenge in robotics, virtual reality, and autonomous driving. In this letter, we introduce SamPose, a novel framework designed ...
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