SwinTrack: A Simple and Strong Baseline for Transformer Tracking Liting Lin 1,2 Heng Fan

Recently Transformer has been largely explored in tracking and shown state-of-the-art (SOT A) performance. However, existing efforts mainly focus on fusing and enhancing features generated by convolutional neural networks (CNNs). The potential of Transformer in representation learning remains under-explored.