In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

Optical remote sensing images (RSIs) have been widely used in many applications, and one
of the interesting issues about optical RSIs is the salient object detection (SOD). However …

Due to the complementary benefits of visible (RGB) and thermal infrared (T) data, RGB-T
object tracking attracts more and more attention recently for boosting the performance under …

The task of object detection and tracking is one of the most complex and challenging
problems in artificial intelligence (AI) systems that model perception. Object tracking has …

High storage and computational costs obstruct deep neural networks to be deployed on
resource-constrained devices. Knowledge distillation (KD) aims to train a compact student …

Visual tracking is a vital component of autonomous driving perception system. Siamese
networks have achieved great success in both accuracy and speed for visual tracking tasks …

Recently, distillation approaches for extracting general knowledge from a teacher network to
guide a student network have been suggested. Most existing methods transfer knowledge …

In real-time applications, a fast and robust visual tracker should generally have the following
important properties: 1) feature representation of an object that is not only efficient but also …

In visual tracking, usually only a small number of samples are labeled, and most existing
deep learning based trackers ignore abundant unlabeled samples that could provide …

Correlation filter (CF) has recently been widely used for visual tracking. The estimation of the
search window and the filter-learning strategies is the key component of the CF trackers …