Fully-convolutional Siamese networks for object tracking
The problem of arbitrary object tracking has traditionally been tackled by learning a model of the object’s appearance exclusively online, using as sole training data the video itself. Despite the success of these methods, their online-only approach inherently limits the richness of the model they c...
| Main Authors: | , , , , |
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| פורמט: | Conference item |
| שפה: | English |
| יצא לאור: |
Springer Verlag
2016
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