Abstract: Deploying large, pretrained models on resource limited devices remains a fundamental challenge in machine learning. While model merging and low-rank compression represent two common options, ...
Abstract: Facing the limitations of traditional static path planning in dynamic environments regarding real-time obstacle avoidance and multi-task coordination, this paper proposes a PSO-driven ...
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