Transformer Tracker

Transformer trackers leverage the power of transformer networks for visual object tracking, aiming to improve accuracy and efficiency compared to traditional methods. Current research focuses on optimizing transformer architectures for speed and resource efficiency through techniques like model compression, knowledge distillation, and efficient training strategies, while also addressing vulnerabilities to adversarial attacks. These advancements are significant for both advancing the field of computer vision and enabling real-time object tracking in resource-constrained environments like robotics and autonomous systems.