Siamese network based trackers formulate tracking as convolutional feature cross-
correlation between target template and searching region. However, Siamese trackers still …

Recently, we have seen a rapid development of Deep Neural Network (DNN) based visual
tracking solutions. Some trackers combine the DNN-based solutions with Discriminative …

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 …

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

Siamese-based trackers have achieved excellent performance on visual object tracking.
However, the target template is not updated online, and the features of target template and …

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 …

By decomposing the visual tracking task into two subproblems as classification for pixel
category and regression for object bounding box at this pixel, we propose a novel fully …

Recently, the region proposal networks (RPN) have been combined with the Siamese
network for tracking, and shown excellent accuracy with high efficiency. Nevertheless …

Siamese networks have drawn great attention in visual tracking because of their balanced
accuracy and speed. However, the backbone networks used in Siamese trackers are …

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