The low reliability of feature and tracking box detection remains a problem in visual object
tracking. Currently, most discriminative correlation filter (DCF) trackers integrate multiple …

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 …

Deep learning methods have achieved great success in medical image analysis domain.
However, most of them suffer from slow convergency and high computing cost, which …

Traffic sign detection, as an important part of intelligent driving, can effectively guide drivers
to regulate driving and reduce the occurrence of traffic accidents. Currently, the deep …

The correlation filter (CF)-based tracker is a classic and effective model in the field of visual
tracking. For a long time, most CF-based trackers solved filters using only ridge regression …

Traffic sign detection is a challenging task. Although existing deep learning techniques have
made great progress in detecting traffic signs, there are still many unsolved challenges. We …

Multi-pose virtual try-on has become a research focus for online clothes shopping due to the
fixed-pose virtual try-on methods that cannot provide a different pose try-on effect. The …

Automobiles are the primary means of transportation and increased traffic leads to the
emphasis on techniques for safe transportation. Vehicle brake light detection is essential to …

Visual object tracking (VOT) for intelligent video surveillance has attracted great attention in
the current research community, thanks to advances in computer vision and camera …

Vision transformers have been demonstrated to yield state-of-the-art results on a variety of
computer vision tasks using attention-based networks. However, research works in …