Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Abstract: Dress code violations in educational institutions present ongoing challenges for administrators striving to maintain a balance between enforcing standards and fostering a sense of ...
Abstract: Source-free domain adaptive object detection (SFOD) enables detectors trained on a source domain to be deployed to unlabeled target domains without access to the source data, thus addressing ...
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 ...
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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