Method

Deep Discrete Flow [DDF]
https://ps.is.tuebingen.mpg.de/publications/guney2016accv

Submitted on 2 Sep. 2016 17:03 by
Fatma Guney (MPI)

Running time:~1 min
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
Motivated by the success of deep learning techniques in matching problems, we present a method for
learning context-aware features for solving optical flow using discrete optimization. Towards this
goal, we present an efficient way of training a context network with a large receptive field size on
top of a local network using dilated convolutions on patches. We perform feature matching by comparing
each pixel in the reference image to every pixel in the target image, utilizing fast GPU matrix
multiplication. The matching cost volume from the network’s output forms the data term for discrete
MAP inference in a pairwise Markov random field.
Parameters:
See supplementary.
Latex Bibtex:
@conference{Guney2016ACCV,
title = {Deep Discrete Flow},
author = {G{\"u}ney, Fatma and Geiger, Andreas},
booktitle = {Asian Conference on Computer Vision
(ACCV)},
year = {2016}
}

Detailed Results

This page provides detailed results for the method(s) selected. For each of the first 20 test images, the number of erroneous pixels at all thresholds is depicted in the table. Underneath, the left input image, the disparity / end-point error map and the estimated (and interpolated) disparity / optical flow map are shown. The error map scales linearly between 0 (black) and >=5 (white) pixels error. Red denotes all occluded pixels, falling outside the image boundaries. The false color map is scaled to the largest ground truth disparity / flow value.

Test Set Average

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.10 % 17.81 % 1.4 px 3.4 px
3 pixels 5.73 % 14.18 % 1.4 px 3.4 px
4 pixels 4.62 % 11.94 % 1.4 px 3.4 px
5 pixels 3.95 % 10.38 % 1.4 px 3.4 px
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Reflective Regions

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Test Image 0

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.14 % 19.59 % 1.2 px 2.4 px
3 pixels 6.23 % 15.33 % 1.2 px 2.4 px
4 pixels 4.98 % 12.68 % 1.2 px 2.4 px
5 pixels 4.28 % 10.65 % 1.2 px 2.4 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.33 % 15.31 % 0.7 px 1.4 px
3 pixels 3.17 % 11.75 % 0.7 px 1.4 px
4 pixels 2.08 % 9.12 % 0.7 px 1.4 px
5 pixels 1.55 % 7.06 % 0.7 px 1.4 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.42 % 19.77 % 0.8 px 1.9 px
3 pixels 3.90 % 15.70 % 0.8 px 1.9 px
4 pixels 2.91 % 13.25 % 0.8 px 1.9 px
5 pixels 2.36 % 11.26 % 0.8 px 1.9 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.50 % 21.20 % 0.8 px 1.9 px
3 pixels 4.50 % 15.88 % 0.8 px 1.9 px
4 pixels 2.77 % 12.69 % 0.8 px 1.9 px
5 pixels 1.79 % 10.23 % 0.8 px 1.9 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 3.51 % 8.37 % 0.6 px 0.8 px
3 pixels 2.35 % 5.41 % 0.6 px 0.8 px
4 pixels 1.25 % 2.86 % 0.6 px 0.8 px
5 pixels 0.68 % 1.51 % 0.6 px 0.8 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.49 % 22.23 % 2.8 px 7.9 px
3 pixels 8.74 % 19.51 % 2.8 px 7.9 px
4 pixels 7.81 % 17.52 % 2.8 px 7.9 px
5 pixels 7.40 % 16.18 % 2.8 px 7.9 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.12 % 18.30 % 1.3 px 2.7 px
3 pixels 6.71 % 13.86 % 1.3 px 2.7 px
4 pixels 5.63 % 11.04 % 1.3 px 2.7 px
5 pixels 5.24 % 9.94 % 1.3 px 2.7 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.84 % 28.87 % 6.3 px 12.9 px
3 pixels 13.12 % 25.27 % 6.3 px 12.9 px
4 pixels 11.86 % 23.06 % 6.3 px 12.9 px
5 pixels 11.13 % 21.39 % 6.3 px 12.9 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.72 % 19.87 % 1.0 px 3.1 px
3 pixels 3.85 % 16.77 % 1.0 px 3.1 px
4 pixels 3.12 % 14.95 % 1.0 px 3.1 px
5 pixels 2.61 % 13.49 % 1.0 px 3.1 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 15.46 % 25.56 % 3.1 px 7.2 px
3 pixels 12.09 % 21.56 % 3.1 px 7.2 px
4 pixels 10.07 % 19.09 % 3.1 px 7.2 px
5 pixels 8.78 % 17.15 % 3.1 px 7.2 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.20 % 19.90 % 0.7 px 2.1 px
3 pixels 3.94 % 16.45 % 0.7 px 2.1 px
4 pixels 2.86 % 13.89 % 0.7 px 2.1 px
5 pixels 2.15 % 11.84 % 0.7 px 2.1 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.38 % 18.52 % 1.7 px 4.5 px
3 pixels 5.01 % 14.56 % 1.7 px 4.5 px
4 pixels 3.97 % 12.17 % 1.7 px 4.5 px
5 pixels 3.44 % 10.40 % 1.7 px 4.5 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.44 % 23.68 % 3.1 px 9.4 px
3 pixels 9.23 % 20.24 % 3.1 px 9.4 px
4 pixels 8.06 % 17.95 % 3.1 px 9.4 px
5 pixels 7.39 % 16.38 % 3.1 px 9.4 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.79 % 19.28 % 1.5 px 3.4 px
3 pixels 7.89 % 16.49 % 1.5 px 3.4 px
4 pixels 6.55 % 14.14 % 1.5 px 3.4 px
5 pixels 5.73 % 12.32 % 1.5 px 3.4 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 9.95 % 23.53 % 1.3 px 3.5 px
3 pixels 7.32 % 19.83 % 1.3 px 3.5 px
4 pixels 6.08 % 17.41 % 1.3 px 3.5 px
5 pixels 5.59 % 15.72 % 1.3 px 3.5 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.24 % 24.32 % 1.4 px 5.5 px
3 pixels 7.41 % 19.91 % 1.4 px 5.5 px
4 pixels 5.50 % 16.95 % 1.4 px 5.5 px
5 pixels 3.95 % 14.77 % 1.4 px 5.5 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.52 % 9.72 % 0.5 px 0.9 px
3 pixels 1.07 % 5.99 % 0.5 px 0.9 px
4 pixels 0.72 % 4.18 % 0.5 px 0.9 px
5 pixels 0.45 % 2.87 % 0.5 px 0.9 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.38 % 20.46 % 1.1 px 4.7 px
3 pixels 5.64 % 16.44 % 1.1 px 4.7 px
4 pixels 4.33 % 14.05 % 1.1 px 4.7 px
5 pixels 3.46 % 12.28 % 1.1 px 4.7 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 0.88 % 7.42 % 0.4 px 0.7 px
3 pixels 0.36 % 3.95 % 0.4 px 0.7 px
4 pixels 0.19 % 2.42 % 0.4 px 0.7 px
5 pixels 0.11 % 1.49 % 0.4 px 0.7 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.88 % 9.35 % 0.5 px 1.1 px
3 pixels 2.14 % 6.83 % 0.5 px 1.1 px
4 pixels 1.62 % 4.83 % 0.5 px 1.1 px
5 pixels 1.10 % 3.16 % 0.5 px 1.1 px
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