DBF-Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer

Today's article comes from the journal of Advanced Intelligent Systems. The authors are Fan et al., from the Harbin Institute of Technology, in China. In this paper they build a computer-vision system that can estimate an object's position in six dimensions: x, y, z, pitch, yaw, and roll.

DOI: 10.1002/aisy.202401001

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