Long-term tracking is a critical and rapidly develo** field in visual object tracking research.
The tracking target's appearance can change over time due to its motion or environmental …

Recently, the memory mechanism has been widely implemented in target tracking.
However, these trackers hardly balance the stability of long-term memory with the plasticity …

Recently, transformer trackers mostly associate multiple reference images with the search
area to adapt to the changing appearance of the target. However, they ignore the learned …

We propose to improve the visual object tracking by introducing a soft mask based low-level
feature fusion technique. The proposed technique is further strengthened by integrating …

We propose a novel memory-based tracker via part-level dense memory and voting-based
retrieval, called DMV. Since deep learning techniques have been introduced to the tracking …