A robust and adaptive framework with space-time memory networks for Visual Object Tracking

Yu Zheng, Yong Liu, Xun Che

Abstract: Highlights•We propose a robust and adaptive space–time memory-based framework.•We propose an extraction network to evaluate frames with a representation score.•Our method showed significant performance improvement compared to previous methods.•Competitive results were obtained compared to other SOTA trackers.