SSN: Learning Sparse Switchable Normalization via SparsestMax
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01269-y
Abstract: Normalization method deals with parameters training of convolution neural networks (CNNs) in which there are often multiple convolution layers. Despite the fact that layers in CNN are not homogeneous in the role they play at… read more here.
Keywords: ssn; usepackage; switchable normalization; normalization ... See more keywords
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3265729
Abstract: The presence of high blood sugar levels damages blood vessels and causes an eye condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking at the variations in retinal blood vasculature. Manual segmentation… read more here.
Keywords: retinal vessels; segmentation; block attention; model ... See more keywords
Switchable Normalization for Learning-to-Normalize Deep Representation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2932062
Abstract: We address a learning-to-normalize problem by proposing Switchable Normalization (SN), which learns to select different normalizers for different normalization layers of a deep neural network. SN employs three distinct scopes to compute statistics (means and… read more here.
Keywords: deep representation; switchable normalization; learning normalize; normalization learning ... See more keywords