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encoder-decoder-models

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dvssajay / Semantic-Segmentation-of-Urban-Scene-Images-Using-Recurrent-Neural-Networks

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This study investigates the performance effect of using recurrent neural networks (RNNs) for semantic segmentation of urban scene images, to generate a semantic output map with refined edges. We proposed three deep neural network architectures using recurrent neural networks and evaluated them on the Cityscapes dataset. All three proposed archit…

deep-learning recurrent-neural-networks convolutional-neural-networks image-segmentation scene-understanding cityscapes-dataset encoder-decoder-models
  • Updated Dec 10, 2020
  • Python

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