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A systematic study of the foreground-background imbalance problem in deep learning for object detection.

Hanxue GuHaoyu DongNicholas KonzMaciej A. Mazurowski
Published in: CoRR (2023)
Keyphrases
  • deep learning
  • object detection
  • computer vision
  • image processing
  • background subtraction
  • learning algorithm
  • feature selection
  • moving objects
  • generative model
  • unsupervised learning
  • object segmentation
  • object class