Adaptive convolutional layer selection based on historical retrospect for visual tracking
Visual tracking has recently gained a great advance with the use of the convolutional neural network (CNN). Usually, existing CNN‐based trackers exploit the features from a single layer or a certain combination of multiple layers. However, these features only characterise an object from an invariabl...
| Main Authors: | , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Wiley
2019-04-01
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| 叢編: | IET Computer Vision |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1049/iet-cvi.2018.5194 |