Method

EPM-CONVOLUTION MULTILAYER-NETWORK FOR OPTICAL FLOW ESTIMATION [fl] [EPMNet]
[Anonymous Submission]

Submitted on 19 Feb. 2018 10:44 by
[Anonymous Submission]

Running time:0.06 s
Environment:GPU @ 3.0 Ghz (C/C++)

Method Description:
Firstly, we present and implement an edge preserve
patch match (EPM) layer that propagates self-similarity
patterns in addition to offsets. The accuracy of optical
flow prediction has greatly improved by this method.
Secondly, we develop a course-to-fine network
architecture to tackle large displacement estimation
and introduce a residual flow method to solve small
displacement estimation.
Parameters:
k = 5, σk = 0.1,β1 = 0.9, β2 = 0.999, lr=10e−4,
search_range=20
Latex Bibtex:

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 19.41 % 28.06 % 2.7 px 6.3 px
3 pixels 13.80 % 22.36 % 2.7 px 6.3 px
4 pixels 11.07 % 19.29 % 2.7 px 6.3 px
5 pixels 9.36 % 17.22 % 2.7 px 6.3 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 20.01 % 29.29 % 2.0 px 4.2 px
3 pixels 14.75 % 23.47 % 2.0 px 4.2 px
4 pixels 12.19 % 20.13 % 2.0 px 4.2 px
5 pixels 10.47 % 17.93 % 2.0 px 4.2 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.47 % 19.68 % 1.4 px 2.7 px
3 pixels 6.22 % 14.29 % 1.4 px 2.7 px
4 pixels 4.10 % 10.88 % 1.4 px 2.7 px
5 pixels 3.15 % 8.85 % 1.4 px 2.7 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 24.49 % 36.14 % 3.1 px 5.9 px
3 pixels 18.28 % 28.71 % 3.1 px 5.9 px
4 pixels 14.99 % 23.95 % 3.1 px 5.9 px
5 pixels 12.71 % 21.14 % 3.1 px 5.9 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 26.50 % 38.45 % 2.4 px 5.2 px
3 pixels 19.95 % 32.68 % 2.4 px 5.2 px
4 pixels 15.89 % 28.73 % 2.4 px 5.2 px
5 pixels 13.18 % 25.55 % 2.4 px 5.2 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.85 % 13.58 % 0.9 px 1.2 px
3 pixels 4.65 % 8.01 % 0.9 px 1.2 px
4 pixels 3.11 % 5.53 % 0.9 px 1.2 px
5 pixels 2.07 % 4.05 % 0.9 px 1.2 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 17.91 % 28.61 % 5.1 px 13.0 px
3 pixels 13.71 % 24.36 % 5.1 px 13.0 px
4 pixels 12.51 % 22.67 % 5.1 px 13.0 px
5 pixels 11.91 % 21.81 % 5.1 px 13.0 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.12 % 25.78 % 1.7 px 3.7 px
3 pixels 11.80 % 18.55 % 1.7 px 3.7 px
4 pixels 8.45 % 14.82 % 1.7 px 3.7 px
5 pixels 6.32 % 12.49 % 1.7 px 3.7 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 14.36 % 25.29 % 2.9 px 10.8 px
3 pixels 10.97 % 21.45 % 2.9 px 10.8 px
4 pixels 9.19 % 19.23 % 2.9 px 10.8 px
5 pixels 8.33 % 18.11 % 2.9 px 10.8 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 30.02 % 42.24 % 6.7 px 15.0 px
3 pixels 24.14 % 37.29 % 6.7 px 15.0 px
4 pixels 20.60 % 34.25 % 6.7 px 15.0 px
5 pixels 17.90 % 31.94 % 6.7 px 15.0 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 28.47 % 39.30 % 3.5 px 7.3 px
3 pixels 21.78 % 32.45 % 3.5 px 7.3 px
4 pixels 17.43 % 27.34 % 3.5 px 7.3 px
5 pixels 14.67 % 23.03 % 3.5 px 7.3 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 24.50 % 37.82 % 2.0 px 6.5 px
3 pixels 16.56 % 31.26 % 2.0 px 6.5 px
4 pixels 12.00 % 26.84 % 2.0 px 6.5 px
5 pixels 9.05 % 23.18 % 2.0 px 6.5 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 13.67 % 24.94 % 1.6 px 8.1 px
3 pixels 8.24 % 18.81 % 1.6 px 8.1 px
4 pixels 5.45 % 15.78 % 1.6 px 8.1 px
5 pixels 4.17 % 14.30 % 1.6 px 8.1 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 28.53 % 39.86 % 4.1 px 10.9 px
3 pixels 22.79 % 34.87 % 4.1 px 10.9 px
4 pixels 18.65 % 31.07 % 4.1 px 10.9 px
5 pixels 15.15 % 27.81 % 4.1 px 10.9 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 11.57 % 20.49 % 1.8 px 5.4 px
3 pixels 6.72 % 14.89 % 1.8 px 5.4 px
4 pixels 4.81 % 12.54 % 1.8 px 5.4 px
5 pixels 4.16 % 11.38 % 1.8 px 5.4 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 27.27 % 39.41 % 2.3 px 6.0 px
3 pixels 18.77 % 32.27 % 2.3 px 6.0 px
4 pixels 14.30 % 28.30 % 2.3 px 6.0 px
5 pixels 11.57 % 25.06 % 2.3 px 6.0 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 34.76 % 45.70 % 3.8 px 11.1 px
3 pixels 25.79 % 37.88 % 3.8 px 11.1 px
4 pixels 20.86 % 33.45 % 3.8 px 11.1 px
5 pixels 17.87 % 30.47 % 3.8 px 11.1 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.52 % 15.38 % 0.8 px 2.0 px
3 pixels 4.40 % 9.83 % 0.8 px 2.0 px
4 pixels 2.28 % 7.17 % 0.8 px 2.0 px
5 pixels 1.26 % 5.85 % 0.8 px 2.0 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 18.97 % 28.86 % 2.3 px 8.2 px
3 pixels 12.55 % 22.28 % 2.3 px 8.2 px
4 pixels 9.47 % 18.88 % 2.3 px 8.2 px
5 pixels 7.34 % 16.43 % 2.3 px 8.2 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 4.21 % 11.19 % 0.7 px 1.3 px
3 pixels 1.85 % 7.33 % 0.7 px 1.3 px
4 pixels 0.84 % 5.30 % 0.7 px 1.3 px
5 pixels 0.33 % 4.18 % 0.7 px 1.3 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.90 % 17.14 % 1.1 px 2.5 px
3 pixels 3.85 % 11.41 % 1.1 px 2.5 px
4 pixels 1.83 % 7.75 % 1.1 px 2.5 px
5 pixels 1.30 % 6.20 % 1.1 px 2.5 px
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