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活动简介

This workshop represents an introduction in deep learning based solutions for driving assistance and automated driving applications. The workshop is based on the authors’ experience gain in several research projects carried out at TUCN dealing with perception tasks. The approached topics are how to build a framework for deep learning; deep learning based stereo reconstruction and image segmentation; deep convolutional features’ use in boosting based solutions.

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Presentations:

  • Robert Varga, Lessons learned from developing the Gödel Deep Learning library

  • Vlad Miclea, Deep learning-based approaches for stereo reconstruction

  • Andra Petrovai, Deep learning for semantic image segmentation

  • Arthur Costea, Boosting over deep convolutional features for object detection

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重要日期
  • 会议日期

    09月07日

    2017

    09月09日

    2017

  • 09月09日 2017

    注册截止日期

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