Method

SN_DN161_fat_pyrx8 [SN_DN161_fat_pyrx8]


Submitted on 18 Jan. 2021 16:44 by
Petra Bevandić (Faculty of Electrical Engineering and Computing)

Running time:1 s
Environment:6 x Tesla V100

Method Description:
SwiftNet, Pyramid, DN161, upsampling 384, multi-domain training
Parameters:
\model_parameters=30M
Latex Bibtex:
@inproceedings{bevandic22wacv,
title={Multi-domain semantic segmentation with overlapping labels},
author={Petra Bevandić and Marin Oršić and Ivan Grubišić and Josip Šarić and Siniša Šegvić},
booktitle={WACV},
year={2022},
}

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
68.89 40.45 87.06 67.93
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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