Method

FCN101_ROB [FCN101_ROB]


Submitted on 31 May. 2018 13:27 by
Asad Zia (Mentor Graphics)

Running time:0.07 s
Environment:2 cores @ 3.5 Ghz (Python)

Method Description:
Fully convolutional network
Parameters:
learning_rate: 1e-4, 24 epoch
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
24.57 6.19 51.85 22.81
This table as LaTeX

Test Image 0

Input Image

Prediction

Error


Test Image 1

Input Image

Prediction

Error


Test Image 2

Input Image

Prediction

Error


Test Image 3

Input Image

Prediction

Error


Test Image 4

Input Image

Prediction

Error


Test Image 5

Input Image

Prediction

Error


Test Image 6

Input Image

Prediction

Error


Test Image 7

Input Image

Prediction

Error


Test Image 8

Input Image

Prediction

Error


Test Image 9

Input Image

Prediction

Error




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