Mean Shift Mask Transformer for Unseen Object Instance Segmentation-Reference-Cited by-同舟云学术

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Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Published:2024-05-13 Issue: Volume:abs/2005.12872 Page:2760-2766
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Lu Yangxiao¹,Chen Yuqiao¹,Ruozzi Nicholas¹,Xiang Yu¹

Affiliation:

1. The University of Texas at Dallas,Department of Computer Science,Richardson,TX,USA,75080

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610943.pdf?arnumber=10610943

Reference40 articles.

1. 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

2. Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes

3. Goal-auxiliary actor-critic for 6d robotic grasping with point clouds;Wang

4. IFOR: Iterative Flow Minimization for Robotic Object Rearrangement

5. Mask R-CNN

Cited by 3 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. Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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