[Feature] YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation

[Debnnn]

What is the feature?

Hi Team,

Check this new paper on 6d object pose estimation by enhancing the YOLOX object detection model. Capturing it here to bring it to the team's attention. This will be a great addition to the mmlab offerings.

Link to the paper:
YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation
https://ieeexplore.ieee.org/abstract/document/10550665

Code:
https://github.com/TexasInstruments/edgeai-yolox
https://github.com/TexasInstruments/edgeai-yolox/blob/main/README_6d_pose.md

Use case
Multi-Object 6D Pose Estimation: It aims to estimate the 3D orientation and 3D translation of objects in a given environment. It is useful in a wide range of applications like robotic manipulation for bin-picking, motion planning, and human-robot interaction task such as learning from demonstration.

Any other context?

No response