AiATrack : Attention in Attention for Transformer Visual Tracking Shenyuan Gao1 , Chunluan Zhou2 , Chao Ma3 , Xinggang Wang1 , Junsong Yuan4 AiATrack: Attention in Attention for Transformer Visual Tracking Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the attention me..

SwinTrack: A Simple and Strong Baseline for Transformer Tracking Liting Lin1,2∗ Heng Fan3∗ Zhipeng Zhang4 Yong Xu1,2 Haibin Ling5 SwinTrack: A Simple and Strong Baseline for Transformer Tracking Recently Transformer has been largely explored in tracking and shown state-of-the-art (SOTA) performance. However, existing efforts mainly focus on fusing and enhancing features generated by convolutiona..