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-learningrecurrent-neural-networksconvolutional-neural-networksimage-segmentationscene-understandingcityscapes-datasetencoder-decoder-models
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Updated
Dec 10, 2020 - Python