f928e5cb46497cfb907a · Lane Marking Detection via Fast End-to-End Deep Convolutional Neural Network that is our Patch Proposal Network (PPN)

{
  "title_en": "Lane Marking Detection via Fast End-to-End Deep Convolutional Neural Network that is our Patch Proposal Network (PPN)",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2018-03-06",
  "date_original": "March 6, 2018",
  "url": "https://www.nist.gov/publications/lane-marking-detection-fast-end-end-deep-convolutional-neural-network-our-patch",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Yan Tiang, Judith R. Gelernter , Xun Wang, Weigang Chen, Junxiang Gao, Yujie Zhang, Xiaolan Li",
  "abstract_excerpt_en": "Research on Region Convolution Neural Network (R-CNN) has recently witnessed progress in both accuracy and execution efficiency in detecting objects such as faces, hands or pedestrians in photograph or video. Recently, Faster R-CNN modifies the way",
  "id": "f928e5cb46497cfb907a",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Lane Marking Detection via Fast End-to-End Deep Convolutional Neural Network that is our Patch Proposal Network (PPN)",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2018-03-06",
      "date_original": "March 6, 2018",
      "url": "https://www.nist.gov/publications/lane-marking-detection-fast-end-end-deep-convolutional-neural-network-our-patch",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Yan Tiang, Judith R. Gelernter , Xun Wang, Weigang Chen, Junxiang Gao, Yujie Zhang, Xiaolan Li",
      "abstract_excerpt_en": "Research on Region Convolution Neural Network (R-CNN) has recently witnessed progress in both accuracy and execution efficiency in detecting objects such as faces, hands or pedestrians in photograph or video. Recently, Faster R-CNN modifies the way"
    }
  ],
  "translation_state": "none"
}