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 ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...
Abstract: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...
Short text now automatically get assigned English language, which might not be suitable. This behavior prevents the user to detect this and perform their own solutions. Either return none and let the ...
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 ...
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