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DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Video Demo
Depth (compared with Zhou et al. 2017)
Flow (compared with FlowNetC)
Output
2011_09_26_drive_0101
2011_09_28_drive_0002
2011_09_29_drive_0071
2011_10_03_drive_0047
2011_09_30_drive_0016
2011_09_26_drive_0117
2011_09_26_drive_0052
2011_09_26_drive_0059
2011_09_26_drive_0027
2011_09_26_drive_0020
2011_09_26_drive_0009
2011_09_26_drive_0013
2011_09_26_drive_0101
2011_09_26_drive_0046
2011_09_26_drive_0029
2011_09_26_drive_0064
2011_09_26_drive_0048
2011_10_03_drive_0027
2011_09_26_drive_0002
2011_09_26_drive_0036
2011_09_30_drive_0027
2011_09_26_drive_0086
2011_09_26_drive_0084
2011_09_26_drive_0096
2011_09_30_drive_0018
2011_09_26_drive_0106
2011_09_26_drive_0056
2011_09_26_drive_0023
2011_09_26_drive_0093
Select Sequence
Input
Ours