Grasp Detection with Hierarchical Multi-Scale Feature Fusion and Inverted Shuffle Residual-Reference-Cited by-同舟云学术

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Grasp Detection with Hierarchical Multi-Scale Feature Fusion and Inverted Shuffle Residual

Published:2024-02 Issue:1 Volume:29 Page:244-256
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Geng Wenjie¹,Cao Zhiqiang¹,Guan Peiyu¹,Jing Fengshui¹,Tan Min¹,Yu Junzhi²

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China,100190

2. College of Engineering, Peking University,Department of Advanced Manufacturing and Robotics,Beijing,China,100871

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/10225032/10225289.pdf?arnumber=10225289

Reference44 articles.

1. A Pixel–Channel Hybrid Attention Model for Image Processing

2. MobileNetV2: Inverted Residuals and Linear Bottlenecks

3. Complex network classification with convolutional neural network

4. Deep Residual Learning for Image Recognition

5. Deep learning for detecting robotic grasps;lenz;Arxiv preprint arXiv,2014

Cited by 1 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. ODGNet: Robotic Grasp Detection Network Based on Omni-Dimensional Dynamic Convolution;Applied Sciences;2024-05-28

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