Recently, both correlation filters-based and Siamese-based trackers have achieved great
progress in the field of visual object tracking. Whereas, some trackers perform not that well …

Object tracking is still a critical and challenging problem with many applications in computer
vision. For this challenge, more and more researchers pay attention to applying deep …

The efficient Siamese anchor-free tracker has fewer parameters, but it produces a large
number of low-quality bounding boxes which are located far away from the center of the …

Visual tracking is one of the most fundamental topics in computer vision. Numerous tracking
approaches based on discriminative correlation filters or Siamese convolutional networks …

Visual tracking of generic objects is one of the fundamental but challenging problems in
computer vision. Here, we propose a novel fully convolutional Siamese network to solve …

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 …

The fusion of the template and search region features plays a significant role in deep
learning-based trackers. In Siamese-based trackers, different cross-correlation operations …

In this paper, we propose fully convolutional siamese fusion networks for object tracking. We
adopt the fusion strategy of convolutional layers for object tracking to achieve good feature …

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