• Corpus ID: 216144414

Learning Gaussian Maps for Dense Object Detection

@article{Kant2020LearningGM,
  title={Learning Gaussian Maps for Dense Object Detection},
  author={Sonaal Kant},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.11855}
}
  • Sonaal Kant
  • Published 24 April 2020
  • Computer Science
  • ArXiv
Object detection is a famous branch of research in computer vision, many state of the art object detection algorithms have been introduced in the recent past, but how good are those object detectors when it comes to dense object detection? In this paper we review common and highly accurate object detection methods on the scenes where numerous similar looking objects are placed in close proximity with each other. We also show that, multi-task learning of gaussian maps along with classification… 

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