HAM: Hybrid attention module in deep convolutional neural networks for image classification-Reference-Cited by-同舟云学术

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HAM: Hybrid attention module in deep convolutional neural networks for image classification

Published:2022-09 Issue: Volume:129 Page:108785
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Guoqiang,Fang Qi,Zha Linlin,Gao Xin,Zheng Nenggan^ORCID

Funder

Natural Science Foundation of Hebei Province

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. Complex contourlet-CNN for polarimetric sar image classification;Li;Pattern Recognit,2020

2. Representation learning using attention network and cnn for heterogeneous networks;Tong;Expert Syst Appl,2021

3. Gradient-based learning applied to document recognition;Lecun;Proc. IEEE,1998

4. Gated CNN: integrating multi-scale feature layers for object detection;Yuan;Pattern Recognit,2020

5. Hcnn-psi: a hybrid CNN with partial semantic information for space target recognition;Yang;Pattern Recognit,2020

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