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Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.16637v1 Announce Type: new Abstract: 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 ap…

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  1. 2026-09-17 04:00 · arXiv cs.CV
    Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision

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