Method

MC-CNN fst semi-sup. [MC-CNN-SS]
[Anonymous Submission]

Submitted on 14 Nov. 2016 18:30 by
[Anonymous Submission]

Running time:1.35 s
Environment:1 core 2.5 Ghz + K40 NVIDIA, Lua-Torch

Method Description:
This is a new semi-supervised method that allows to
learn deep metrics from unlabeled stereo images,
given coarse information about the scenes and the
optical system. The network architecture is similar
to MC-CNN fst.
Parameters:
Metric
\t_sup = 2
\t_occ = 1
Pipeline
\tau_so = 0.021
\pi1_mult = 14.811
\alpha1 = 1.548
\blur_sigma = 6.643
\pi1 = 4.253
\med = 5.000
\sgm_q1 = 2.940
\sgm_q2 = 2.579
\blur_t = 5.005
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 4.76 % 6.57 % 0.8 px 1.0 px
3 pixels 3.02 % 4.45 % 0.8 px 1.0 px
4 pixels 2.33 % 3.44 % 0.8 px 1.0 px
5 pixels 1.96 % 2.85 % 0.8 px 1.0 px
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Reflective Regions

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 24.65 % 28.49 % 3.1 px 3.8 px
3 pixels 17.70 % 21.54 % 3.1 px 3.8 px
4 pixels 14.12 % 17.77 % 3.1 px 3.8 px
5 pixels 11.91 % 15.34 % 3.1 px 3.8 px
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Test Image 0

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.83 % 8.14 % 0.7 px 0.8 px
3 pixels 3.96 % 5.87 % 0.7 px 0.8 px
4 pixels 2.76 % 4.43 % 0.7 px 0.8 px
5 pixels 1.99 % 3.29 % 0.7 px 0.8 px
This table as LaTeX





Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 4.77 % 8.40 % 0.7 px 0.9 px
3 pixels 2.66 % 5.78 % 0.7 px 0.9 px
4 pixels 2.10 % 4.37 % 0.7 px 0.9 px
5 pixels 1.90 % 3.52 % 0.7 px 0.9 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 4.89 % 6.50 % 0.6 px 0.7 px
3 pixels 2.66 % 3.92 % 0.6 px 0.7 px
4 pixels 1.58 % 2.30 % 0.6 px 0.7 px
5 pixels 1.20 % 1.49 % 0.6 px 0.7 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 4.64 % 7.22 % 0.6 px 0.8 px
3 pixels 2.09 % 4.56 % 0.6 px 0.8 px
4 pixels 1.29 % 3.46 % 0.6 px 0.8 px
5 pixels 0.97 % 2.67 % 0.6 px 0.8 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.98 % 4.52 % 0.5 px 0.6 px
3 pixels 1.67 % 2.86 % 0.5 px 0.6 px
4 pixels 1.12 % 1.75 % 0.5 px 0.6 px
5 pixels 0.71 % 0.87 % 0.5 px 0.6 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 1.99 % 2.75 % 0.5 px 0.5 px
3 pixels 1.09 % 1.39 % 0.5 px 0.5 px
4 pixels 0.81 % 0.97 % 0.5 px 0.5 px
5 pixels 0.71 % 0.80 % 0.5 px 0.5 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.06 % 8.22 % 1.0 px 1.1 px
3 pixels 3.70 % 5.22 % 1.0 px 1.1 px
4 pixels 2.80 % 3.66 % 1.0 px 1.1 px
5 pixels 2.43 % 3.07 % 1.0 px 1.1 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.23 % 8.56 % 0.9 px 1.1 px
3 pixels 3.85 % 6.11 % 0.9 px 1.1 px
4 pixels 2.81 % 4.87 % 0.9 px 1.1 px
5 pixels 2.34 % 4.10 % 0.9 px 1.1 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.18 % 3.61 % 0.5 px 0.6 px
3 pixels 1.08 % 1.56 % 0.5 px 0.6 px
4 pixels 0.77 % 1.22 % 0.5 px 0.6 px
5 pixels 0.69 % 1.12 % 0.5 px 0.6 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 10.52 % 12.73 % 1.2 px 1.6 px
3 pixels 6.49 % 8.81 % 1.2 px 1.6 px
4 pixels 4.63 % 7.01 % 1.2 px 1.6 px
5 pixels 3.70 % 5.84 % 1.2 px 1.6 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.35 % 3.90 % 0.5 px 0.6 px
3 pixels 1.34 % 2.63 % 0.5 px 0.6 px
4 pixels 0.88 % 1.83 % 0.5 px 0.6 px
5 pixels 0.77 % 1.46 % 0.5 px 0.6 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 7.33 % 10.75 % 1.4 px 1.5 px
3 pixels 4.63 % 7.95 % 1.4 px 1.5 px
4 pixels 3.62 % 6.60 % 1.4 px 1.5 px
5 pixels 3.00 % 5.52 % 1.4 px 1.5 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.86 % 8.10 % 1.3 px 1.5 px
3 pixels 4.42 % 6.35 % 1.3 px 1.5 px
4 pixels 3.95 % 5.47 % 1.3 px 1.5 px
5 pixels 3.77 % 5.05 % 1.3 px 1.5 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.21 % 7.57 % 1.0 px 1.3 px
3 pixels 4.35 % 5.63 % 1.0 px 1.3 px
4 pixels 3.47 % 4.62 % 1.0 px 1.3 px
5 pixels 3.24 % 4.34 % 1.0 px 1.3 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 2.02 % 3.22 % 0.5 px 0.5 px
3 pixels 1.14 % 2.00 % 0.5 px 0.5 px
4 pixels 0.88 % 1.39 % 0.5 px 0.5 px
5 pixels 0.76 % 1.01 % 0.5 px 0.5 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 5.37 % 7.21 % 0.7 px 0.8 px
3 pixels 3.24 % 4.06 % 0.7 px 0.8 px
4 pixels 1.96 % 2.18 % 0.7 px 0.8 px
5 pixels 1.36 % 1.40 % 0.7 px 0.8 px
This table as LaTeX





Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 3.81 % 4.02 % 0.6 px 0.6 px
3 pixels 1.27 % 1.26 % 0.6 px 0.6 px
4 pixels 0.72 % 0.71 % 0.6 px 0.6 px
5 pixels 0.51 % 0.50 % 0.6 px 0.6 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 6.87 % 7.97 % 1.0 px 1.1 px
3 pixels 5.08 % 5.49 % 1.0 px 1.1 px
4 pixels 4.06 % 4.40 % 1.0 px 1.1 px
5 pixels 3.24 % 3.55 % 1.0 px 1.1 px
This table as LaTeX





Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 3.03 % 3.77 % 0.4 px 0.5 px
3 pixels 1.80 % 2.10 % 0.4 px 0.5 px
4 pixels 1.10 % 1.24 % 0.4 px 0.5 px
5 pixels 0.64 % 0.70 % 0.4 px 0.5 px
This table as LaTeX





Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 1.91 % 4.41 % 0.5 px 0.6 px
3 pixels 1.11 % 2.16 % 0.5 px 0.6 px
4 pixels 0.85 % 0.91 % 0.5 px 0.6 px
5 pixels 0.74 % 0.71 % 0.5 px 0.6 px
This table as LaTeX







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