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PerSeM: Persistent Semantic Memory for Long-Horizon Open-Vocabulary UAV Mapping

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19542v1 Announce Type: new Abstract: Open-vocabulary segmentation enables rich semantic perception for UAVs, but frame-wise predictions can remain temporally inconsistent across repeated observations and changing viewpoints. We present PerSeM, a training-free persistent semantic memory f…

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  1. 2026-09-18 04:00 · arXiv cs.CV
    PerSeM: Persistent Semantic Memory for Long-Horizon Open-Vocabulary UAV Mapping

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