micro (74.87%, beats MultiFormer 72.25%) = 36.7KB int4 / 73.5KB int8; nano (~72%) = 19.5KB int4. Distillation tested, no gain (direct training wins). A SOTA-beating pose model fits on the sensing node itself. Co-Authored-By: claude-flow <ruv@ruv.net> |
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| .. | ||
| homecore-vs-home-assistant.md | ||
| person-count-cog.md | ||
| pose-estimation-cog.md | ||
| wifi-pose-efficiency-frontier.md | ||