Visual comparison of original [69] and segmented images using state of the art (FCN [27], UNet-R(34) [29], FPN [60], Fast-SCNN [58], UNet++ [30], DeepLabV3#layer 1 [16], S-FPN [60], Segformer-B1 [66], DeepLabV3+ [13], Trans4PASS-S [35], DANet [18]) and proposed method in the Cityscapes dataset.

<p>(Original image was taken from Cityscapes dataset which is freely available on [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0305561#pone.0305561.ref069" target="_blank">69</a>]).</p>

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Visual comparison of original [69] and segmented images using state of the art (FCN [27], UNet-R(34) [29], FPN [60], Fast-SCNN [58], UNet++ [30], DeepLabV3#layer 1 [16], S-FPN [60], Segformer-B1 [66], DeepLabV3+ [13], Trans4PASS-S [35], DANet [18]) and proposed method in the Cityscapes dataset.

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