Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3204527
Abstract: In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by hand-crafted approaches. Traditionally,… read more here.
Keywords: neural network; network priors; inverse imaging; imaging problems ... See more keywords
Recognition ability of untrained neural networks to symbolic numbers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.973010
Abstract: Although animals can learn to use abstract numbers to represent the number of items, whether untrained animals could distinguish between different abstract numbers is not clear. A two-layer spiking neural network with lateral inhibition was… read more here.
Keywords: neural networks; recognition ability; symbolic numbers; number ... See more keywords