Search results with tag "Squeeze and excitation"
1 Squeeze-and-Excitation Networks
arxiv.org1 Squeeze-and-Excitation Networks Jie Hu [000000025150 1003] Li Shen 2283 4976] Samuel Albanie 0001 9736 5134] Gang Sun [00000001 6913 6799] Enhua Wu 0002 2174 1428] Abstract—The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within …
MSRF-Net: A Multi-Scale Residual Fusion Network ... - arXiv
arxiv.orgThe Squeeze and Excitation (S&E) block was able to model interdependencies between the channels and derive a global information map that helps in emphasizing relevant features and suppressing irrelevant features. FED-Net [30] incorporated these (S&E) blocks in their modified
Hyperspectral image classification using ResNet with ...
homepages.cae.wisc.eduHyperspectral image classification using ResNet with Squeeze and Excitation block ECE 539 Fall 2018 Jiayu Wang Question to solve I am currently working as a part-time software engineer intern at a company which delivers