Convolutional neural network: a review of models, methodologies and applications to object detection

By Anamika Dhillon, Gyanendra Kumar Verma. Progress in Artificial Intelligence, 2019

971 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects (2020, background): “Dhillon and Verma [13] discussed the architectures of some classic networks, but there are many new-generation networks, after their work, that have been proposed, such as MobileNet v3, inception v4, and ShuffleNet series, which deserve researchers’ attention.”