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Morning Edition · Thursday, October 15, 2026Published at 2:37 AM EDT · New York
New Vision Papers From SJTU and KAUST Push Promptable Perception as Meta's SAM 3 and DINOv3 Run US National Lab Imaging
Shanghai Jiao Tong University claims the best RGB-only result for category-level 9D pose at NeurIPS 2026, and Berkeley Lab says Meta's open models cut one annotation task from a month to 15 minutes.
Two research groups released perception work this week that changes how vision-language models hand spatial information to downstream modules. A team from Shanghai Jiao Tong University (SJTU) presented SchemaPose at NeurIPS 2026 and claims…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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