Summary
This paper introduces Spatial-TTT, a novel approach for streaming visual-based spatial intelligence that mimics human perception. It addresses the challenge of continuously maintaining and updating spatial understanding from unbounded video streams, focusing on how spatial information is selected, organized, and retained over time. Spatial-TTT utilizes test-time training to enable AI systems to process and learn from visual data in a streaming fashion.
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