Siamese Network Visual Tracking Algorithm Based on GCT Attention and Dual-Template Update-Reference-Cited by-同舟云学术

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Siamese Network Visual Tracking Algorithm Based on GCT Attention and Dual-Template Update

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Natural Language Processing (ICNLP)
language:
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Author:

Ma Sugang¹,Sun Siwei¹,Pu Lei²,Yang Xiaobao³

Affiliation:

1. Xi’an University of Posts and Telecommunications,School of Computer Science and Technology,Xi’an,China

2. Rocket Force Engineering University,School of Operational Support,Xi’an,China

3. Xi’an University of Posts and Telecommunications,Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing,Xi’an,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10236601/10236606/10236817.pdf?arnumber=10236817

Reference19 articles.

1. ECO: Efficient Convolution Operators for Tracking

2. Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

3. Deeper Siamese Network With Stronger Feature Representation for Visual Tracking

4. Learning the Model Update for Siamese Trackers

5. Learning Discriminative Model Prediction for Tracking

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