Method

Pixel-wise Attentional Gating [APMoE_seg_ROB]
https://github.com/aimerykong/Pixel-Attentional-Gating

Submitted on 24 May. 2018 07:30 by
Shu Kong (University of California at Irvine)

Running time:0.2 s
Environment:GPU @ 3.5 Ghz (Matlab/C++)

Method Description:
The Pixel-level Attentional Gating (PAG) unit is trained to choose for each pixel the pooling size to adopt to aggregate contextual region around it. There are multiple branches with different dilate rates for varied pooling size, thus varying receptive field. For this ROB challenge, PAG is expected to robustly aggregate information for final prediction.
Parameters:
Parameter config follows what reported in the
paper.
Latex Bibtex:
@inproceedings{kong2018pag,
title={Pixel-wise Attentional Gating for
Parsimonious Pixel Labeling},
author={Kong, Shu and Fowlkes, Charless},
booktitle={arxiv 1805.01556},
year={2018}
}

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
47.96 17.86 78.11 49.17
This table as LaTeX

Test Image 0

Input Image

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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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