Enterprise technology innovation and production performance based on machine learning and IoT artificial intelligence system
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-021-03106-y.pdf
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3. Fan H, Ling H (2017) SANet: structure-aware network for visual tracking. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, pp 2217–2224
4. Gao J, Ling H, Hu W, Xing J (2014) Transfer learning based visual tracking with Gaussian processes regression. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T (eds) Computer vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol 8691. Springer, Cham. https://doi.org/10.1007/978-3-319-10578-9_13
5. Hare S, Golodetz S, Saffari A, Vineet V, Cheng M et al (2016) Struck: structured output tracking with kernels. IEEE Trans Pattern Anal Mach Intell 38(10):2096–2109
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