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  • Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper DW2F.6
  • https://doi.org/10.1364/DH.2018.DW2F.6

A Novel Training Method for Faster R-CNN based Object Detection in Multi-modal Images

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Abstract

Conventional methods feed multi-modal images indiscriminately into model during training, introducing possible downgrading of performance. A novel stepwise method that trains different parts of multi-modal Faster R-CNN using different sub-datasets is presented, showing satisfactory results.

© 2018 The Author(s)

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