Understanding open-set recognition by Jacobian norm and inter-class separation

This publication has 15 references indexed in Scilit:

• Generative-Discriminative Feature Representations for Open-Set Recognition
  2020
• Classification-Reconstruction Learning for Open-Set Recognition
  2019
• Open Set Learning with Counterfactual Images
  2018
• Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization
  2018
• Robust Large Margin Deep Neural Networks
  IEEE Transactions on Signal Processing, 2017
• Towards Open Set Deep Networks
  2016
• ImageNet Large Scale Visual Recognition Challenge
  International Journal of Computer Vision, 2015
• The use of the area under the ROC curve in the evaluation of machine learning algorithms
  Pattern Recognition, 1997
• A theory of the learnable
  Communications of the ACM, 1984
• A Cluster Separation Measure
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 1979