✨Artemis: Structured Visual Reasoning for Perception Policy Learning

📝 Summary:
Artemis improves visual perception by using structured spatial reasoning with label bounding-box pairs instead of linguistic intermediate reasoning. This avoids language ambiguity, enables direct supervision, and leads to strong performance and generalization across diverse visual tasks.

🔹 Publication Date: Published on Dec 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01988
• PDF: https://arxiv.org/pdf/2512.01988
• Project Page: https://vi-ocean.github.io/projects/artemis/
• Github: https://github.com/WayneTomas/Artemis

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#VisualPerception #ComputerVision #SpatialReasoning #AI #MachineLearning