Image classification research based on ResNet and SeNet

Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2024-01-07

Dai ying

Abstract： Image classification and recognition are of great significance in modern society. There have been many excellent convolutional neural network works to optimize the accuracy of image classification, one of the outstanding representatives is ResNet 1 , which greatly increases the depth of the neural network, thereby greatly improving the performance of the neural network. At the same time, there are some pluggable performance optimization sub-modules that can help optimize all networks, one of the outstanding representatives is SeNet 3 . However, they do not always perform well when faced with complex scenarios in the real world. The main work of this article is to study how to effectively improve the recognition performance of convolutional neural networks (ResNet) in some special scenes (small pictures, high-noise pictures), and try to analyze the underlying mechanisms of some neural networks.
 

Peer Review Status:Awaiting Review

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