Improving Bag-of-Deep-Visual-Words Model via Combining Deep Features With Feature Difference Vectors

Author:

Wang Xiangshi1ORCID

Affiliation:

1. School of IoT Technology, Wuxi Institute of Technology, Wuxi, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 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. Bag-of-Visual-Words Feature Extraction using Graph Convolutional Networks;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

2. Can using a pre-trained deep learning model as the feature extractor in the bag-of-deep-visual-words model always improve image classification accuracy?;PLOS ONE;2024-02-29

3. A Brief Survey on Efficient Models for Qubits Encoding Using Quantum Machine Learning With Multi Level Time Series Data Classification;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

4. Comparison of estimating vegetation index for outdoor free-range pig production using convolutional neural networks;Journal of Animal Science and Technology;2023-11

5. Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network;2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT);2022-11-10

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