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2104.07528
Cited By

Investigations on Output Parameterizations of Neural Networks for Single
Shot 6D Object Pose Estimation

Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation

IEEE International Conference on Robotics and Automation (ICRA), 2021

15 April 2021

Kilian Kleeberger

Richard Bormann

ArXiv (abs)PDF HTML

Papers citing "Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation"

5 / 5 papers shown

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D
Pose Estimation In Bin-picking Scenarios

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking ScenariosIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024

214

10

0

14 Mar 2024

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Michael A. Greenspan

482

6

0

16 Nov 2023

A Hierarchical Approach to Active Pose Estimation

A Hierarchical Approach to Active Pose Estimation

Jan Peters

245

0

0

08 Mar 2022

Precise Object Placement with Pose Distance Estimations for Different
Objects and Grippers

Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers

Kilian Kleeberger

Jonathan Schnitzler

Muhammad Usman Khalid

Richard Bormann

201

5

0

03 Oct 2021

YOLO9000: Better, Faster, Stronger

YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016

814

17,410

0

25 Dec 2016

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