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Alireza Naghizadeh

2 accepted papers

2021

Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks

ICCV 2021poster

There exists many powerful architectures for object detection and semantic segmentation of both biomedical and natural images. However, a difficulty arises in the ability to create training datasets that are large and well-varied. The importance of this subject is nested in the amount of training da…

Cited by 7PDFcodeScholar
2020

Deep Subspace Clustering with Data Augmentation

NeurIPS 2020poster

The idea behind data augmentation techniques is based on the fact that slight changes in the percept do not change the brain cognition. In classification, neural networks use this fact by applying transformations to the inputs to learn to predict the same label. However, in deep subspace clustering…