PolishNet-2d and PolishNet-3d: Deep Learning-Based Workpiece Recognition-Reference-Cited by-同舟云学术

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PolishNet-2d and PolishNet-3d: Deep Learning-Based Workpiece Recognition

Published:2019 Issue: Volume:7 Page:127042-127054
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Fuqiang^ORCID,Wang Zongyi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08832125.pdf?arnumber=8832125

Cited by 6 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. A Novel Efficient Convolutional Neural Algorithm for Multi-Category Aliasing Hardware Recognition;Sensors;2022-07-18

2. Comparative Study of Convolutional Neural Network in Multi-category Aliasing Hardware Recognition;2022 International Conference on Advanced Robotics and Mechatronics (ICARM);2022-07-09

3. Online Workpieces Recognition for the Robotic Spray-Painting Production Line With a Low-Cost RGB-D Camera;IEEE Transactions on Instrumentation and Measurement;2022

4. Remanufacturing System with Chatter Suppression for CNC Turning;Sensors;2020-09-07

5. A method for similarity assessment between death masks and portraits through linear projection: The case of Vincenzo Bellini;Digital Applications in Archaeology and Cultural Heritage;2020-06

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