Modern spatial intelligence systems—SLAM pipelines, neural rendering models, and 3D scene graph frameworks—remain fragmented. Each solves part of the perception problem, but none unify: Metric ...
Abstract: 3D scene graph generation is essential for spatial computing in Extended Reality (XR), providing structured semantics for task planning and intelligent perception. However, unlike ...
Introduction: Image emotion classification (IEC), which predicts human emotional perception from images, is a research highlight for its wide applications. Recently, most existing methods have focused ...
Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...
Abstract: The effective analysis of spatial data from diverse sources, such as satellite imagery and aerial views, remains pivotal for informed decision-making across various domains. This paper ...
Overall Performance Metrics: Side-by-side comparison of Mean IoU, Dice Score, and Pixel Accuracy. Per-Class Performance Analysis: A detailed, sorted breakdown of IoU scores for each semantic class, ...
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