65 citations · 287 across the 27 of their papers we have counts for
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cs.CV2021★ 6 cited
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation
Maria Tzelepi, Anastasios Tefas
Knowledge Distillation has been established as a highly promising approach for training compact and faster models by transferring knowledge from heavyweight and powerful models. Ho…
cs.CV2021★ 1 cited
Quadratic mutual information regularization in real-time deep CNN models
Maria Tzelepi, Anastasios Tefas
In this paper, regularized lightweight deep convolutional neural network models, capable of effectively operating in real-time on devices with restricted computational power for hi…
cs.CV2021
Semantic Scene Segmentation for Robotics Applications
Maria Tzelepi, Anastasios Tefas
Semantic scene segmentation plays a critical role in a wide range of robotics applications, e.g., autonomous navigation. These applications are accompanied by specific computationa…