Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
Abstract: Many object recognition techniques rely on visual-based detection, requiring high-quality cameras and substantial computing power for high recognition accuracy. When visual detection ...
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