HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation-Reference-Cited by-同舟云学术

HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation

Published:2023-01 Issue:1 Volume:32 Page:189-198
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Guan Qi¹,Sheng Zihao¹,Xue Shibei¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9970761/10038784/10038797.pdf?arnumber=10038797

Reference43 articles.

1. Real-Time Seamless Single Shot 6D Object Pose Prediction

2. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer;zagoruyko;Proceedings of International Conference on Learning Representations,2017

3. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

4. Fitnets: Hints for thin deep nets;romero;Proceedings of International Conference on Learning Representations,2015

5. PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation

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1. LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation;IEEE Robotics and Automation Letters;2024-09

2. Lite-HRPE: A 6DoF Object Pose Estimation Method for Resource-Limited Platforms;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

3. Kinematics-Aware Multigraph Attention Network with Residual Learning for Heterogeneous Trajectory Prediction;Journal of Intelligent and Connected Vehicles;2024-06

4. Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. A Cooperation-Aware Lane Change Method for Automated Vehicles;IEEE Transactions on Intelligent Transportation Systems;2023-03