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Advancements in Image Classification using Convolutional Neural Network

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arxiv 1905.03288 v1 pith:2CFTC26O submitted 2019-05-08 cs.CV cs.AI

Farhana Sultana , A. Sufian , Paramartha Dutta This is my paper · ORCID
classification cs.CVcs.AI
keywords classificationimagemodeladvancementsconvolutionaldifferentdiscussednetwork
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Convolutional Neural Network (CNN) is the state-of-the-art for image classification task. Here we have briefly discussed different components of CNN. In this paper, We have explained different CNN architectures for image classification. Through this paper, we have shown advancements in CNN from LeNet-5 to latest SENet model. We have discussed the model description and training details of each model. We have also drawn a comparison among those models.

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Cited by 1 Pith paper

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    On a four-species African wildlife dataset, ViT-H/14 reaches 99% accuracy versus 67% for the best CNN (DenseNet-201), but at far greater computational cost.

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