A Scene Language Model for Open-Vocabulary Scene Mapping

arXiv:2609.21400 · cs.CV, cs.RO · Submitted 2026-09-18 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/QwenLM/Qwen3-VL

Project page: https://manifoldtechltd.github.io/wiki/odin_series/odin1

Terminology

• Benchmark — 24× in this paper · explained in 2 episodes
• Ablation — 18× in this paper · explained in 1 episode
• Quantization — 11× in this paper · explained in 12 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Grounding — 7× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Decode — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Open-Vocabulary Automatic Labeling — 2× in this paper
• Point Clouds — 2× in this paper · explained in 2 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 1× in this paper
• F1 Score — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• NaVILA: Legged Robot Vision-Language-Action Model for Navigation
• RynnBrain: Open Embodied Foundation Models
• Describe Anything Anywhere At Any Moment
• FARM: Find Anything using Relational Spatial Memory
• Describe Anything: Detailed Localized Image and Video Captioning
• YOLOE: Real-Time Seeing Anything
• LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

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