Solve Visual Tracking with Self-Supervised Learning
Visual tracking systems are essential for applications ranging from surveillance to autonomous navigation. However, these systems have a significant Achilles’ heel: they rely heavily on large, labeled datasets for training. This reliance makes it challenging to deploy them in real-world situations where labeled data is scarce or expensive to obtain. In this article, we will … Read more