• Corpus ID: 235185375

Adaptive Threshold for Online Object Recognition and Re-identification Tasks

@article{Bohara2020AdaptiveTF,
  title={Adaptive Threshold for Online Object Recognition and Re-identification Tasks},
  author={Bharat Bohara},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2020}
}
  • Bharat Bohara
  • Published 28 December 2020
  • Computer Science
  • arXiv: Computer Vision and Pattern Recognition
Choosing a decision threshold is one of the challenging job in any classification tasks. How much the model is accurate, if the deciding boundary is not picked up carefully, its entire performance would go in vain. On the other hand, for imbalance classification where one of the classes is dominant over another, relying on the conventional method of choosing threshold would result in poor performance. Even if the threshold or decision boundary is properly chosen based on machine learning… 

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