| Optical flow evaluation results |
Statistics:
Average
SD
R0.5
R1.0
R2.0
A50
A75
A95
Error type: angle end-point interpolation normalized interpolation |
|
A95 end-point error |
avg. |
Army (Hidden texture) GT im0 im1 |
Mequon (Hidden texture) GT im0 im1 |
Schefflera (Hidden texture) GT im0 im1 |
Wooden (Hidden texture) GT im0 im1 |
Grove (Synthetic) GT im0 im1 |
Urban (Synthetic) GT im0 im1 |
Yosemite (Synthetic) GT im0 im1 |
Teddy (Stereo) GT im0 im1 |
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| rank | all | disc | untext | all | disc | untext | all | disc | untext | all | disc | untext | all | disc | untext | all | disc | untext | all | disc | untext | all | disc | untext | |
| Spatially variant [22] | 4.8 | 0.29 2 | 1.01 1 | 0.23 5 | 0.59 4 | 3.73 4 | 0.50 5 | 1.50 3 | 6.97 12 | 0.36 1 | 0.39 2 | 5.29 5 | 0.17 1 | 5.07 8 | 5.73 9 | 5.09 9 | 3.02 2 | 6.45 3 | 2.80 5 | 0.33 6 | 0.28 2 | 0.60 10 | 4.85 7 | 7.35 4 | 6.40 6 |
| DPOF [20] | 6.0 | 0.37 7 | 1.16 5 | 0.26 7 | 1.20 10 | 4.08 10 | 0.55 6 | 0.86 1 | 2.12 1 | 0.65 6 | 0.67 7 | 4.23 2 | 0.40 9 | 3.92 1 | 5.03 1 | 2.54 1 | 4.84 5 | 6.50 4 | 3.18 7 | 0.92 17 | 0.54 16 | 1.64 17 | 2.63 1 | 4.59 1 | 4.56 3 |
| TV-L1-improved [19] | 6.8 | 0.28 1 | 1.05 2 | 0.17 1 | 0.57 2 | 3.55 2 | 0.44 3 | 2.24 8 | 8.19 20 | 0.46 3 | 0.35 1 | 7.45 19 | 0.18 2 | 4.86 5 | 5.68 6 | 4.21 4 | 17.3 15 | 7.54 9 | 2.47 3 | 0.56 13 | 0.48 12 | 0.72 12 | 4.10 5 | 7.73 6 | 6.51 8 |
| JIF-Reg [21] | 6.8 | 0.46 10 | 1.25 8 | 0.27 9 | 1.16 9 | 3.79 6 | 0.69 9 | 1.58 4 | 6.13 5 | 0.99 9 | 0.93 9 | 7.44 18 | 0.32 7 | 5.00 7 | 5.72 8 | 5.42 14 | 2.18 1 | 6.55 5 | 2.00 2 | 0.30 3 | 0.38 7 | 0.30 1 | 3.85 4 | 7.33 3 | 5.59 4 |
| F-TV-L1 [17] | 7.5 | 0.38 8 | 1.23 7 | 0.30 11 | 1.32 11 | 4.46 13 | 0.67 8 | 3.59 13 | 7.35 14 | 0.70 7 | 0.69 8 | 7.63 21 | 0.29 5 | 4.74 3 | 5.54 4 | 4.30 5 | 3.49 3 | 6.97 6 | 1.94 1 | 0.38 8 | 0.43 9 | 0.42 5 | 3.65 3 | 7.59 5 | 3.92 2 |
| SegOF [12] | 8.0 | 0.56 14 | 1.27 10 | 0.41 13 | 1.94 12 | 3.85 8 | 1.77 15 | 3.44 12 | 6.14 6 | 1.96 11 | 1.26 13 | 3.34 1 | 0.92 14 | 4.83 4 | 5.24 3 | 4.79 7 | 16.6 14 | 7.57 10 | 4.51 14 | 0.21 1 | 0.32 4 | 0.32 2 | 2.87 2 | 6.41 2 | 3.00 1 |
| Fusion [8] | 8.2 | 0.38 8 | 1.17 6 | 0.28 10 | 0.53 1 | 3.35 1 | 0.48 4 | 0.90 2 | 3.47 2 | 0.76 8 | 0.63 6 | 5.66 6 | 0.39 8 | 5.21 11 | 5.79 12 | 5.33 11 | 4.41 4 | 5.98 1 | 2.82 6 | 0.56 13 | 0.51 14 | 0.75 13 | 6.49 15 | 11.3 18 | 7.02 16 |
| Brox et al. [7] | 9.5 | 0.47 11 | 1.29 11 | 0.32 12 | 1.03 8 | 3.69 3 | 0.86 11 | 2.10 7 | 6.35 7 | 2.13 12 | 1.18 11 | 6.13 11 | 0.61 11 | 5.48 16 | 6.20 19 | 5.48 16 | 8.20 7 | 8.23 15 | 2.73 4 | 0.26 2 | 0.34 5 | 0.32 2 | 5.01 8 | 8.86 9 | 6.56 9 |
| CBF [14] | 10.1 | 0.29 2 | 1.07 3 | 0.22 4 | 0.83 6 | 3.81 7 | 0.79 10 | 1.83 5 | 6.77 9 | 0.54 4 | 0.43 3 | 6.84 16 | 0.30 6 | 4.86 5 | 5.75 10 | 4.35 6 | 25.1 22 | 8.52 16 | 4.03 11 | 0.98 19 | 0.75 21 | 2.97 19 | 5.21 9 | 11.4 19 | 6.73 11 |
| Dynamic MRF [9] | 10.2 | 0.36 4 | 1.26 9 | 0.24 6 | 0.57 2 | 4.28 12 | 0.33 1 | 1.88 6 | 6.72 8 | 0.37 2 | 0.45 4 | 6.86 17 | 0.23 4 | 5.44 15 | 5.89 14 | 5.60 18 | 12.3 11 | 11.8 21 | 4.03 11 | 0.42 11 | 0.30 3 | 0.79 14 | 7.94 18 | 11.0 16 | 9.07 18 |
| GraphCuts [16] | 10.5 | 0.53 12 | 1.30 13 | 0.26 7 | 2.63 15 | 5.49 18 | 1.53 12 | 2.57 10 | 5.15 3 | 2.57 13 | 1.14 10 | 4.94 4 | 0.61 11 | 4.40 2 | 5.13 2 | 3.95 3 | 17.3 15 | 6.38 2 | 5.59 19 | 0.75 16 | 0.43 9 | 1.14 15 | 6.31 12 | 9.98 13 | 7.32 17 |
| GroupFlow [11] | 10.8 | 0.78 16 | 1.73 17 | 0.60 17 | 3.11 18 | 5.38 17 | 2.49 18 | 4.27 14 | 6.91 11 | 2.76 14 | 1.21 12 | 4.61 3 | 0.79 13 | 5.09 9 | 5.76 11 | 3.88 2 | 7.80 6 | 7.20 7 | 5.19 18 | 0.31 4 | 0.42 8 | 0.45 6 | 4.34 6 | 8.00 7 | 6.31 5 |
| Learning Flow [13] | 10.9 | 0.36 4 | 1.29 11 | 0.19 2 | 0.88 7 | 4.18 11 | 0.56 7 | 2.94 11 | 6.87 10 | 1.01 10 | 1.78 14 | 6.81 15 | 0.50 10 | 5.51 17 | 6.19 18 | 5.41 13 | 14.2 12 | 8.05 13 | 3.44 8 | 0.41 9 | 0.54 16 | 0.57 9 | 6.48 14 | 9.99 14 | 6.48 7 |
| Second-order prior [10] | 11.2 | 0.36 4 | 1.08 4 | 0.20 3 | 0.65 5 | 4.02 9 | 0.39 2 | 2.43 9 | 8.43 22 | 0.58 5 | 0.49 5 | 5.89 7 | 0.18 2 | 5.32 14 | 6.08 16 | 5.02 8 | 22.5 20 | 9.03 18 | 4.24 13 | 1.43 21 | 0.72 20 | 3.90 22 | 6.33 13 | 10.3 15 | 6.92 13 |
| 2D-CLG [3] | 12.3 | 1.19 20 | 2.21 20 | 0.70 18 | 2.17 13 | 3.78 5 | 1.93 16 | 6.02 18 | 7.44 16 | 3.48 17 | 3.42 17 | 6.03 9 | 3.32 17 | 5.24 12 | 5.68 6 | 5.39 12 | 15.6 13 | 8.14 14 | 3.77 10 | 0.31 4 | 0.26 1 | 0.48 7 | 5.99 10 | 8.71 8 | 6.74 12 |
| SPSA-learn [15] | 13.5 | 0.53 12 | 1.36 14 | 0.45 14 | 2.47 14 | 5.72 20 | 1.69 13 | 4.97 16 | 7.78 18 | 2.93 15 | 2.51 15 | 7.47 20 | 2.31 15 | 5.30 13 | 5.83 13 | 5.44 15 | 22.3 19 | 7.93 11 | 4.87 15 | 0.36 7 | 0.34 5 | 0.51 8 | 6.03 11 | 9.76 12 | 6.66 10 |
| Horn & Schunck [6] | 13.8 | 0.73 15 | 1.72 16 | 0.59 16 | 2.87 17 | 4.93 16 | 2.05 17 | 6.26 19 | 7.71 17 | 3.28 16 | 3.80 18 | 6.43 12 | 3.48 19 | 5.10 10 | 5.55 5 | 5.31 10 | 8.89 8 | 10.1 20 | 4.92 16 | 0.41 9 | 0.46 11 | 0.36 4 | 6.67 16 | 9.11 10 | 6.95 14 |
| Black & Anandan 2 [2] | 14.7 | 0.78 16 | 1.61 15 | 0.53 15 | 2.71 16 | 4.73 15 | 1.76 14 | 5.18 17 | 7.13 13 | 3.76 21 | 3.30 16 | 6.11 10 | 2.86 16 | 5.66 18 | 6.09 17 | 5.53 17 | 21.6 | ||||||||