Method

Modified DeeplabV3+ [mdv3+]
[Anonymous Submission]

Submitted on 3 Jun. 2020 14:58 by
[Anonymous Submission]

Running time:0.2 s
Environment:GPU @ >3.5 Ghz (Python)

Method Description:
In modified DeeplabV3+, we alter the encoder part
and propose a new model. This modified method is
proposed for semantic segmenation in unstructured
an structured environment.
Parameters:
alpha=0.5, learning rate = 1e-4, momentum =0.997
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
59.86 25.87 82.96 56.29
This table as LaTeX

Test Image 0

Input Image

Prediction

Error


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

Prediction

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