Self‑distilled spatial reasoning improves accuracy without large latency penalty

Distilling privileged depth cues into an RGB‑only vision‑language model closes the long‑standing gap between accuracy and inference speed. SpatialOPSD shows that a single forward pass can inherit most of the reasoning power of a tool‑driven teacher without the heavy latency penalty. Before this wor…

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1. 2026-10-15 05:00 · DEV Community — Machine Learning
   Self‑distilled spatial reasoning improves accuracy without large latency penalty