Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision
This story is from 2026-09-16. 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…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-09-16 04:00 · arXiv cs.CV
Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision