ACapsGan: Generative Adversarial Network Based on Capsule Network and Attention Mechanism-Reference-Cited by-同舟云学术

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ACapsGan: Generative Adversarial Network Based on Capsule Network and Attention Mechanism

Published:2024-07-07 Issue: Volume: Page:7388-7391
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Jin Rubo¹,Cheng Jianda²,Chen Shiqi³,Deng Jie¹,Wang Wei¹

Affiliation:

1. National University of Defense Technology,National Key Laboratory of Science and Technology on Automatic Target Recognition,Changsha,China,410073

2. Linyi University,School of Automation and Electrical Engineering,Linyi,China,276000

3. National University of Defense Technology,College of Information and Communication,Wuhan,China,430030

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642117.pdf?arnumber=10642117

Reference17 articles.

1. Vehicle Target Detection Method for Wide-Area SAR Images Based on Coarse-Grained Judgment and Fine-Grained Detection

2. Aircraft Target Interpretation Based on SAR Images

3. ImageNet classification with deep convolutional neural networks

4. Densely Connected Convolutional Networks

5. Data Augmentation Method of SAR Image Dataset

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