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Optical Flow Estimation research benchmarks – Page 4 · SOTA2 Research

Optical Flow Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

KITTI All 2015 (train)

23.61EPE

4

Feb 26, 2026

KITTI Noc 2015 (train)

15.34EPE

4

Feb 26, 2026

KITTI 2012 Noc (train)

7.62EPE

4

Feb 26, 2026

Scene Flow Driving Clean (train+val)

14.35EPE

4

Feb 26, 2026

Scene Flow Monkaa Clean (train+val)

4.49Endpoint Error

4

Feb 26, 2026

SSES (delta t=20) (test)

2.234Mean AEE

3

Feb 26, 2026

SSES delta t=10 (test)

2.967Mean AEE

3

Feb 26, 2026

4.09EPE

3

Feb 26, 2026

Scene Flow Driving Final (val)

37.93EPE

3

Feb 26, 2026

Scene Flow Driving Final (train)

9.41EPE

3

Feb 26, 2026

Scene Flow Driving Clean (val)

37.91EPE

3

Feb 26, 2026

Scene Flow Driving Clean (train)

9.17EPE

3

Feb 26, 2026

Scene Flow Monkaa Final (val)

7.9EPE

3

Feb 26, 2026

Scene Flow Monkaa Final (train)

3.78Endpoint Error (EPE)

3

Feb 26, 2026

Scene Flow Monkaa Clean (val)

7.94EPE

3

Feb 26, 2026

Scene Flow Monkaa Clean (train)

4.06EPE

3

Feb 26, 2026

DSEC (zurich_city_05_b and zurich_city_11_c)

0.72EPE

3

Feb 26, 2026

Generic 128x418 Images (test)

34Avg Runtime (ms)

2

Feb 26, 2026

Composite Dataset

—

—Precision (PM)

0

Feb 26, 2026

Page 4 of 4

Popular datasets

KITTI Scene Flow MPI Sintel DSEC Sintel

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