Visual object tracking is a fundamental research topic with a broad range of applications.
Benefiting from the rapid development of Transformer, pure Transformer trackers have …

Due to the rapid development of computer vision, single-modal (RGB) object tracking has
made significant progress in recent years. Considering the limitation of single imaging …

Single-object tracking is a well-known and challenging research topic in computer vision.
Over the last two decades, numerous researchers have proposed various algorithms to …

The current 3D human pose estimators face challenges in adapting to new datasets due to
the scarcity of 2D-3D pose pairs in target domain training sets. We present the Multi …

Recently, the need for advanced anti-UAV techniques is increasing due to the rising threat of
unauthorized drone intrusion. Object tracking, specifically in thermal infrared (TIR) videos …

With the development of dynamic acquisition technology for satellite video data, significant
progress in target tracking has been made in recent years. This progress plays an important …

Object tracking is a key technology in the field of intelligent vehicle environmental
perception. Accurate and efficient object tracking technologies provide autonomous vehicles …

Anomaly segmentation plays a crucial role in identifying anomalous objects within images,
which facilitates the detection of road anomalies for autonomous driving. Although existing …

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that
has yet to be thoroughly explored in existing research. To address this gap, we present …

Many current tracking benchmarks, such as OTB100, Nfs, UAV123, LaSOT, and GOT-10K,
are approaching saturation ie, they are approaching their maximum score capacity. As such …