arXiv 2610.22276 · cs.CV · 2026-10-15
MJev-Spatial: System One Spatial Intelligence via Native Attention Matching
Luozheng Qin, Yuhan Zhu, Changhai Zhou, Qian Qiao, Jun Gao, Yuhua Zhou, Harry Zhang, Xiangyu Zeng and 4 more
Mind Lab
In latest · #27 2026-W42 #1 Added on 2026-10-21
One-line takeaway
MJev-Spatial casts spatial questions as classification over candidates, answering relation, distance and point queries faster than text generation.
MJev-Spatial 把空间理解任务改成分类式打分，比自由生成文本更快地回答方位、距离和落点问题。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
More on Multimodal
- LoopVL: Recurrent Visual Intelligence ▲417
- VideoJev: System One Model for Video Understanding and Interaction ▲375
- S-Space: Exploring Spatial Workspace in Multimodal Language Models ▲270
- UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ▲266
- OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction ▲238
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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