Local Semantic Siamese Networks for Fast Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2959256
Abstract: Learning a powerful feature representation is critical for constructing a robust Siamese tracker. However, most existing Siamese trackers learn the global appearance features of the entire object, which usually suffers from drift problems caused by… read more here.
Keywords: fast tracking; tracker; local semantic; semantic siamese ... See more keywords
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2020.00079
Abstract: Excitation-inhibition (E-I) balanced neural networks are a classic model for modeling neural activities and functions in the cortex. The present study investigates the potential application of E-I balanced neural networks for fast signal detection in… read more here.
Keywords: network; neural networks; balanced neural; excitation inhibition ... See more keywords