Abstract: 6D pose estimation is a crucial subfield of visual measurement, extensively applied in robotics, autonomous driving, and augmented reality. Existing instance-level and category-level 6D pose ...
Abstract: The estimation of 6D pose from RGB-D data remains challenging due to occlusions, textureless objects, and depth noise. In this work, We introduce a novel architecture to calculate precisely ...
YOLOs-CPP is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provides a unified, consistent API across all YOLO versions ...
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