Method

DEEP OPTICAL FLOW LEARNING WITH DEFORMABLE LARGE-KERNEL CROSS-ATTENTION [LSCA]
[Anonymous Submission]

Submitted on 25 Jul. 2024 15:23 by
[Anonymous Submission]

Running time:0.2 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
1.We propose a Large-Kernel Cross-Attention module tailored for
optical flow estimation, which combines the advantages of
convolution and attention mechanisms. This module learns long-range
dependencies between pixels in a set of features without disrupting
the two-dimensional structure of context features,which preserves
the channel adaptability of features while aggregating corresponding
motion features, significantly improving the estimation of optical
flow.
2.We introduce the concept of deformability into the
large-kernel cross-attention, allowing for flexible deformation of
the sampling grid and enableing the model to adapt appropriately to
different data patterns.
Parameters:
6.1M
Latex Bibtex:

Detailed Results

This page provides detailed results for the method(s) selected. For the first 20 test images, the percentage of erroneous pixels is depicted in the table. We use the error metric described in Object Scene Flow for Autonomous Vehicles (CVPR 2015), which considers a pixel to be correctly estimated if the disparity or flow end-point error is <3px or <5% (for scene flow this criterion needs to be fulfilled for both disparity maps and the flow map). Underneath, the left input image, the estimated results and the error maps are shown (for disp_0/disp_1/flow/scene_flow, respectively). The error map uses the log-color scale described in Object Scene Flow for Autonomous Vehicles (CVPR 2015), depicting correct estimates (<3px or <5% error) in blue and wrong estimates in red color tones. Dark regions in the error images denote the occluded pixels which fall outside the image boundaries. The false color maps of the results are scaled to the largest ground truth disparity values / flow magnitudes.

Test Set Average

Error Fl-bg Fl-fg Fl-all
All / All 4.49 6.03 4.75
All / Est 4.49 6.03 4.75
Noc / All 2.86 3.67 3.01
Noc / Est 2.86 3.67 3.01
This table as LaTeX

Test Image 0

Error Fl-bg Fl-fg Fl-all
All / All 2.01 21.40 4.67
All / Est 2.01 21.40 4.67
Noc / All 1.94 21.40 4.89
Noc / Est 1.94 21.40 4.89
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 1

Error Fl-bg Fl-fg Fl-all
All / All 1.37 17.47 3.17
All / Est 1.37 17.47 3.17
Noc / All 1.34 17.47 3.33
Noc / Est 1.34 17.47 3.33
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 2

Error Fl-bg Fl-fg Fl-all
All / All 3.94 18.32 4.64
All / Est 3.94 18.32 4.64
Noc / All 3.32 18.32 4.19
Noc / Est 3.32 18.32 4.19
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 3

Error Fl-bg Fl-fg Fl-all
All / All 8.29 34.62 10.72
All / Est 8.29 34.62 10.72
Noc / All 5.45 31.13 7.66
Noc / Est 5.45 31.13 7.66
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 4

Error Fl-bg Fl-fg Fl-all
All / All 2.03 6.12 2.71
All / Est 2.03 6.12 2.71
Noc / All 2.01 5.17 2.60
Noc / Est 2.01 5.17 2.60
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 5

Error Fl-bg Fl-fg Fl-all
All / All 1.67 0.35 1.55
All / Est 1.67 0.35 1.55
Noc / All 1.63 0.35 1.50
Noc / Est 1.63 0.35 1.50
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 6

Error Fl-bg Fl-fg Fl-all
All / All 4.26 0.87 3.90
All / Est 4.26 0.87 3.90
Noc / All 2.51 0.87 2.31
Noc / Est 2.51 0.87 2.31
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 7

Error Fl-bg Fl-fg Fl-all
All / All 1.10 3.67 1.60
All / Est 1.10 3.67 1.60
Noc / All 1.10 3.81 1.60
Noc / Est 1.10 3.81 1.60
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 8

Error Fl-bg Fl-fg Fl-all
All / All 0.17 2.73 0.64
All / Est 0.17 2.73 0.64
Noc / All 0.17 2.73 0.64
Noc / Est 0.17 2.73 0.64
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 9

Error Fl-bg Fl-fg Fl-all
All / All 0.33 2.51 0.88
All / Est 0.33 2.51 0.88
Noc / All 0.33 2.51 0.88
Noc / Est 0.33 2.51 0.88
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 10

Error Fl-bg Fl-fg Fl-all
All / All 1.27 2.13 1.46
All / Est 1.27 2.13 1.46
Noc / All 1.14 2.13 1.39
Noc / Est 1.14 2.13 1.39
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 11

Error Fl-bg Fl-fg Fl-all
All / All 2.17 0.70 1.91
All / Est 2.17 0.70 1.91
Noc / All 2.03 0.70 1.76
Noc / Est 2.03 0.70 1.76
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 12

Error Fl-bg Fl-fg Fl-all
All / All 2.40 0.82 2.29
All / Est 2.40 0.82 2.29
Noc / All 1.53 0.82 1.47
Noc / Est 1.53 0.82 1.47
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 13

Error Fl-bg Fl-fg Fl-all
All / All 3.03 1.21 2.81
All / Est 3.03 1.21 2.81
Noc / All 1.39 0.59 1.30
Noc / Est 1.39 0.59 1.30
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 14

Error Fl-bg Fl-fg Fl-all
All / All 2.83 0.96 2.79
All / Est 2.83 0.96 2.79
Noc / All 1.99 0.96 1.97
Noc / Est 1.99 0.96 1.97
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 15

Error Fl-bg Fl-fg Fl-all
All / All 9.15 2.66 8.56
All / Est 9.15 2.66 8.56
Noc / All 6.87 2.66 6.39
Noc / Est 6.87 2.66 6.39
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 16

Error Fl-bg Fl-fg Fl-all
All / All 13.59 2.36 11.94
All / Est 13.59 2.36 11.94
Noc / All 7.60 2.36 6.65
Noc / Est 7.60 2.36 6.65
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 17

Error Fl-bg Fl-fg Fl-all
All / All 7.15 1.71 6.59
All / Est 7.15 1.71 6.59
Noc / All 6.18 1.71 5.60
Noc / Est 6.18 1.71 5.60
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 18

Error Fl-bg Fl-fg Fl-all
All / All 16.86 80.75 47.21
All / Est 16.86 80.75 47.21
Noc / All 11.21 41.46 19.55
Noc / Est 11.21 41.46 19.55
This table as LaTeX

Input Image

Flow Result

Flow Error


Test Image 19

Error Fl-bg Fl-fg Fl-all
All / All 4.01 2.38 3.83
All / Est 4.01 2.38 3.83
Noc / All 3.19 2.38 3.07
Noc / Est 3.19 2.38 3.07
This table as LaTeX

Input Image

Flow Result

Flow Error




eXTReMe Tracker