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Vladimir Nekrasov

2 accepted papers

2019

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

CVPR 2019poster

Automated design of neural network architectures tailored for a specific task is an extremely promising, albeit inherently difficult, avenue to explore. While most results in this domain have been achieved on image classification and language modelling problems, here we concentrate on dense per-pixe…

Cited by 196PDFcodeScholar
2019

Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations

ICRA 2019poster

Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards. Here, we address three of its most prominent hurdles, namely, i) the adaptation of a single model to perform multiple tasks at once (in this work, we consi…

Cited by 169SourcecodeScholar