Fully Convolutional Single-Crop Siamese Networks for Real-Time Visual Object Tracking
The visual object tracking problem seeks to track an arbitrary object in a video, and many deep convolutional neural network-based algorithms have achieved significant performance improvements in recent years. However, most of them do not guarantee real-time operation due to the large computation ov...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/8/10/1084 |