Deep Convolutional Neural Networks for Scene Understanding: A Study of Semantic Segmentation Models

Malvi Mungalpara,Priyanka Goradia, Trisha Baldha, Yanvi Soni

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)（2021）

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Abstract

Semantic Image Segmentation for autonomous cars is gaining a lot of popularity in recent times with researchers trying to improvise the model as much as possible. In this paper, we have compared three models, UNet, VGG16_FCN and ResNet50_FCN, which are used for semantic image segmentation. We have trained and tested these models on the cityscape dataset where the models classify each pixel of the ...

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Key words

Image segmentation,Semantics,Object segmentation,Automobiles,Convolutional neural networks,Artificial intelligence

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