25 citations · 26 across the 4 of their papers we have counts for
4 papers
Virtual neural networks: hundreds of souls in a body
Petr Hurtik, Marek Vajgl, Zahra Alijani +1
A new concept, termed virtual neural networks, is introduced, where the count of trainable parameters is kept constant, and scalability is attained purely through computational res…
Fractional Concepts in Neural Networks: Enhancing Activation Functions
Zahra Alijani, Vojtech Molek
Designing effective neural networks requires tuning architectural elements. This study integrates fractional calculus into neural networks by introducing fractional order derivativ…
Unproportional mosaicing
Vojtech Molek, Petr Hurtik, Pavel Vlasanek +1
Data shift is a gap between data distribution used for training and data distribution encountered in the real-world. Data augmentations help narrow the gap by generating new data s…
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3
Petr Hurtik, Vojtech Molek, Jan Hula +3
We present a new version of YOLO with better performance and extended with instance segmentation called Poly-YOLO. Poly-YOLO builds on the original ideas of YOLOv3 and removes two…