arXiv (OAI Expanded)
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Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision
Efficient perception is central to robotic systems operating under constrained computation, memory, and latency budgets. Knowledge transfer from larger pretrained models offers a practical route to stronger compact perception networks, but existing approaches commonly rely on fixed distillation obje
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