The Cityscapes Dataset for Semantic Urban Scene Understanding
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Cites methods from "The Cityscapes Dataset for Semantic..."
...They mention the CamVid dataset [107] requires 60 min per image to manually annotate, and the Cityscapes dataset [108] requires 90 min per image....
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5,691 citations
Cites methods from "The Cityscapes Dataset for Semantic..."
...For the task of semantic segmentation [18, 53, 12, 82], we consider two challenges in applying Deep Convolutional Neural Networks (DCNNs) [42]....
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4,465 citations
Cites methods from "The Cityscapes Dataset for Semantic..."
..., [4]), and they are relatively small....
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...Cityscapes dataset, and compare the output label images with the ground truth using the standard metrics on the Cityscapes benchmark [4]....
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4,327 citations
Cites background or methods from "The Cityscapes Dataset for Semantic..."
...To evaluate the proposed method, we carry out comprehensive experiments on Cityscapes dataset [5], PASCAL VOC2012 [7], PASCAL Context dataset [14] and COCO Stuff dataset [2]....
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...• We achieve new state-of-the-art results on three popular benchmarks including Cityscapes dataset [5], PASCAL Context dataset [14] and COCO Stuff dataset [2]....
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4,128 citations
References
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"The Cityscapes Dataset for Semantic..." refers methods in this paper
...We adopted VGG16 [68] and utilize the PASCAL-context setup [41] with a modified learning rate to match our image resolution under an unnormalized loss....
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49,914 citations
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46,982 citations
30,811 citations