Siamese tracking has achieved groundbreaking performance in recent years, where the
essence is the efficient matching operator cross-correlation and its variants. Besides the …

Correlation acts as a critical role in the tracking field, especially in recent popular Siamese-
based trackers. The correlation operation is a simple fusion manner to consider the similarity …

Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-
defined anchor boxes to accurately estimate the scale and aspect ratio of a target …

The design of more complex and powerful neural network models has significantly
advanced the state-of-the-art in visual object tracking. These advances can be attributed to …

Most deep trackers still follow the guidance of the siamese paradigms and use a template
that contains only the target without any contextual information, which makes it difficult for …

Recently, Siamese networks have drawn great attention in visual tracking community
because of their balanced accuracy and speed. However, features used in most Siamese …

The fully-convolutional siamese network based on template matching has shown great
potentials in visual tracking. During testing, the template is fixed with the initial target feature …

Recently, most siamese network based trackers locate targets via object classification and
bounding-box regression. Generally, they select the bounding-box with maximum …

Siamese networks have been successfully introduced into visual tracking, which match the
best candidate and a target template via a couple of networks with shared parameters …

Most existing Siamese-based tracking methods execute the classification and regression of
the target object based on the similarity maps. However, they either employ a single map …