Li, Dongdong; Wen, Gongjian; Kuai, Yangliu; Porikli, Fatih
Recently, the performance advancement of discriminative correlation filter (DCF) based trackers is predominantly driven by the use of deep convolutional features. As convolutional features from multiple layers capture different target information, existing works integrate hierarchical convolutional features to enhance target representation. However, these works separate feature integration from DCF learning and hardly benefit from end-to-end training. In this letter, we incorporates feature...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.