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Multi-resolution Multi-task Network and Polyp Tracking

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Computer-Aided Analysis of Gastrointestinal Videos
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Abstract

Usually, different convolutional neural networks (CNN) are designed for different tasks and trained separately. However, the same convolutional encoder can be shared between classification, segmentation, and object detection network. Based on this observation, we wonder if it is possible to combine those different parts and solve multiple tasks in a single network to save the cost of training multiple networks.

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Correspondence to Hanbo Chen .

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Chen, H. (2021). Multi-resolution Multi-task Network and Polyp Tracking. In: Bernal, J., Histace, A. (eds) Computer-Aided Analysis of Gastrointestinal Videos. Springer, Cham. https://doi.org/10.1007/978-3-030-64340-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-64340-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64339-3

  • Online ISBN: 978-3-030-64340-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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