Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Transformers have been successfully applied to the visual tracking task and significantly
promote tracking performance. The self-attention mechanism designed to model long-range …

Current Siamese-based trackers mainly formulate the visual tracking into two indepedent
subtasks, including classification and localization. They learn the classification subnetwork …

Recent advancements in the field of visual tracking have been propelled by the
amalgamation of Siamese networks and region proposal networks, which have …

In this paper, we present a simple, flexible and effective vision-language (VL) tracking
pipeline, termed MMTrack, which casts VL tracking as a token generation task. Traditional …

Siamese tracking paradigm has achieved great success, providing effective appearance
discrimination and size estimation by classification and regression. While such a paradigm …

Siamese network based trackers develop rapidly in the field of visual object tracking in
recent years. The majority of Siamese network based trackers now in use treat each channel …

The local parts of the target are vitally important for robust object tracking. Nevertheless,
existing excellent context regression methods involving siamese networks and …

Based on the versatility and effectiveness of the siamese neural network, the technology of
unmanned aerial vehicle visual object tracking has found widespread application in various …

To adapt to the target appearance, some trackers focus only on learning the target model
online with the spatial context or only on learning an adaptive template with the temporal …