Abstract: Indoor 3D object detection serves as a fundamental task in computer vision and robotics. Existing research predominantly focuses on training domain-specific optimal models for individual ...
Abstract: Few-shot object detection (FSOD) aims to recognize novel class targets using limited annotated data. Conventional approaches rely on extensive base class training, followed by fine-tuning ...
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