  Image pairing is an important research task in the field of computer vision.
And finding image pairs containing objects of the same category is the basis of
many tasks such as tracking and person re-identification, etc., and it is also
the focus of our research. Existing traditional methods and deep learning-based
methods have some degree of defects in speed or accuracy. In this paper, we
made improvements on the Siamese network and proposed GetNet. The proposed
method GetNet combines STN and Siamese network to get the target area first and
then perform subsequent processing. Experiments show that our method achieves
competitive results in speed and accuracy.
