Improving Bag-of-Deep-Visual-Words Model via Combining Deep Features With Feature Difference Vectors
Bag-of-Deep-Visual-Words (BoDVW) model has shown its advantage over Convolutional Neural Network (CNN) model in image classification tasks with a small number of training samples. An essential step in BoDVW model is to extract deep features by using an off-the-shelf CNN model as a feature extractor....
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9745142/ |
