Method

Hierarchical Semantic Segmentation [HiSS_ROB]


Submitted on 28 May. 2018 23:36 by
Panagiotis Meletis (Eindhoven University of Technology)

Running time:0.06 s
Environment:GPU @ 1.5 Ghz (Python)

Method Description:
Hierarchical semantic segmentation constructs a hierarchical tree of classes and the respective tree of classifiers for multi-dataset training.
Parameters:
\lambda=1.0
Latex Bibtex:

Detailed Results

This page provides detailed results for the method(s) selected. For the first 20 test images, we display the original image, the color-coded result and an error image. The error image contains 4 colors:
red: the pixel has the wrong label and the wrong category
yellow: the pixel has the wrong label but the correct category
green: the pixel has the correct label
black: the groundtruth label is not used for evaluation

Test Set Average

IoU class iIoU class IoU category iIoU category
53.16 21.37 78.32 51.92
This table as LaTeX

Test Image 0

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Test Image 1

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Test Image 2

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Test Image 3

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Test Image 4

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Test Image 5

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Test Image 6

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Test Image 7

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Test Image 8

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Test Image 9

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