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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

human-in-the-loop quick selection

biblio

Visible to the public Improving Deep Learning by Incorporating Semi-automatic Moving Object Annotation and Filtering for Vision-based Vehicle Detection*

Submitted by grigby1 on Fri, 07/03/2020 - 1:16pm
  • Task Analysis
  • Object segmentation
  • pubcrawl
  • resilience
  • Resiliency
  • road vehicles
  • Scalability
  • security monitoring systems
  • semiautomatic moving object annotation
  • semiautomatic moving object annotation method
  • street intersection surveillance videos
  • object detection
  • tools
  • traffic engineering computing
  • Training
  • Vehicle detection
  • video analytics applications
  • video frames
  • video signal processing
  • video surveillance
  • vision-based vehicle detection
  • deep learning you-only-look-once model
  • automatic foreground object extraction
  • big image data
  • computer vision
  • data augmentation
  • Data models
  • dataset construction
  • deep learning
  • deep learning models
  • deep learning neural networks
  • artifactual data
  • deep video
  • feature extraction
  • human-in-the-loop quick selection
  • image annotation
  • image filtering
  • image motion analysis
  • learning (artificial intelligence)
  • Metrics
  • neural nets

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