Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Abstract: The detection of small objects within intricate backgrounds poses a significant challenge in the domain of aerial image object detection. In this manuscript, a spatial context-aware ...
Abstract: Automated object detection in aerial images is crucial in both civil and military applications. Existing computer vision-based object detection methods are not robust enough to precisely ...
With the rapid development of artificial intelligence technology, AI-driven learning methods are gradually permeating various fields, particularly evident in programming education. In recent years, ...
IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more.
FAYETTEVILLE, N.C. (WTVD) -- Fayetteville will continue to use the ShotSpotter program for the next year. City council voted 8-2 Monday night to extend the contract at a cost of more than $220,000.
The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...
Flexible deployment: Partners can sell Consumption model-based Ootbi for deployment on-premises to be managed by the customer. In addition, Service Providers can deliver Ootbi as a managed service, ...
Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...
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