# A 1B Vision Model Beats 7B Rivals on Dense Spatial Perception

LingBot-Vision treats object boundaries as native pretraining signals and matches or surpasses DINOv3 at seven times the parameters on NYU-Depth v2.

- Published: 2026-07-08T05:30:03.109Z
- Canonical: https://polylog.news/ai/2026-07-08/a-1b-vision-model-beats-7b-rivals-on-dense-spatial-perceptio
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Polylog editors](https://polylog.news), [arXiv](https://arxiv.org/abs/2607.05247)

A new paper, Vision Pretraining for Dense Spatial Perception, introduces LingBot-Vision, a 1-billion-parameter Vision Transformer trained with self-supervision, surfaced by the AI with Papers channel. Its central idea is a boundary-centric…

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