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Mohammad Khalooei

2 accepted papers

2019

Self-Supervised Representation Learning via Neighborhood-Relational Encoding

ICCV 2019poster

In this paper, we propose a novel self-supervised representation learning by taking advantage of a neighborhood-relational encoding (NRE) among the training data. Conventional unsupervised learning methods only focused on training deep networks to understand the primitive characteristics of the visu…

Cited by 50PDFcodeScholar
2018

Adversarially Learned One-Class Classifier for Novelty Detection

CVPR 2018poster

Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is often absent during training, poorly sampled or not well defined. Therefore, one-class classifiers can efficiently model…