Method

DepthMatch [DepthMatch]


Submitted on 14 Feb. 2025 05:58 by
Rui Fan (Tongji University)

Running time:1.2 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
Please see our paper.
Parameters:
Please see our paper.
Latex Bibtex:
@article{jxhuang2025spl,
title={
DepthMatch: Semi-Supervised RGB-D Scene Parsing
through Depth-Guided Regularization},
author={Huang, Jianxin and Li, Jiahang and
Vityazev, Sergey and Dvorkovich, Alexander and
Fan, Rui},
journal={IEEE Signal Processing Letters},
year={2025},
publisher={IEEE}
}

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
76.60 48.48 90.16 75.05
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

Input Image

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