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A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications.

Guan-Ting LinVinay Malligere ShivannaJiun-In Guo
Published in: Sensors (2020)
Keyphrases
  • back propagation
  • neural network
  • prior knowledge
  • background subtraction
  • learning algorithm
  • reinforcement learning
  • probabilistic model
  • bounding box