Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
Author:
Affiliation:
1. The Hong Kong Polytechnic University
2. The Chinese University of Hong Kong
3. University of Waterloo
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376689.pdf?arnumber=10376689
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Experimental Comparison of Two 6D Pose Estimation Algorithms in Robotic Fruit-Picking Tasks;Robotics;2024-08-26
2. A RGB-D feature fusion network for occluded object 6D pose estimation;Signal, Image and Video Processing;2024-06-13
3. Graspability-Aware Object Pose Estimation in Cluttered Scenes;IEEE Robotics and Automation Letters;2024-04
4. A Method for Unseen Object Six Degrees of Freedom Pose Estimation Based on Segment Anything Model and Hybrid Distance Optimization;Electronics;2024-02-16
5. A Survey of 6DoF Object Pose Estimation Methods for Different Application Scenarios;Sensors;2024-02-07
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