Search results for "Squeeze-and-Excitation"

Biometric Fish Classification of Nordic Species Using Convolutional Neural Network with Squeeze-and-Excitation

2018

Master's thesis Information- and communication technology IKT590 - University of Agder 2018 Squeeze-and-Excitation (SE) is a technique within convolutional neural networks (CNN) that can be applied to existing CNNs by applying fullyconnected layers between convolutional layers and merging the outputs. SE was the winning architecture of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2017. In this thesis, we propose a CNN using the SE architecture for classifying images of sh. Previous work in the eld relies on applying lters to the images to separate the sh from the background or sharpen the images by removing background noise. The images from the dataset are extracted fro…