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This document summarizes a research paper that proposes an efficient 3D object detection framework called GS3D for autonomous driving using a single RGB image. The framework first uses a 2D object detector to predict 2D bounding boxes and orientations. It then generates a coarse 3D cuboid guidance for each detection. Features from the visible surfaces of these guidances are used along with the 2D boxes to refine the 3D bounding boxes through classification instead of regression. Evaluated on KITTI, the appr

Author

Subhankar Chakraborty

Language

EN