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Improved RPN for Single Targets Detection Based on the Anchor Mask Net

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Image and Graphics Technologies and Applications (IGTA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

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Abstract

Common target detection is usually based on single frame images, which is vulnerable to affected by the similar targets in the image and not applicable to video images. In this paper, anchor mask is proposed to add the prior knowledge for target detection and an anchor mask net is designed to improve the RPN performance for single target detection. Tested in the VOT2016, the model perform better.

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Correspondence to Mingjie Li .

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© 2019 Springer Nature Singapore Pte Ltd.

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Li, M., Feng, Y., Yin, Z., Zhou, C., Dong, F. (2019). Improved RPN for Single Targets Detection Based on the Anchor Mask Net. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_2

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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