SGAT: Shuffle and graph attention based Siamese networks for visual tracking

• Published in: PloS one Vol. 17; no. 11; p. e0277064
• Main Authors: Wang, Jun, Zhang, Limin, Zhang, Wenshuang, Wang, Yuanyun, Deng, Chengzhi
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.11.2022; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Analysis; Artificial neural networks; Benchmarks; Biology and Life Sciences; Computer and Information Sciences; Correlation; Cross correlation; Engineering and Technology; Exploitation; Feature extraction; Graph matching; Learning; Neural networks; Neural Networks, Computer; Occlusion; Optical tracking; Physical Sciences; Research and Analysis Methods; Searching; Similarity; Social Sciences; China

Siamese-based trackers have achieved excellent performance and attracted extensive attention, which regard the tracking task as a similarity learning between the target template and search regions. However, most Siamese-based trackers do not effectively exploit correlations of the spatial and channe...