5,321
edits
Digging Into Self-Supervised Monocular Depth Estimation: Difference between revisions
Digging Into Self-Supervised Monocular Depth Estimation (view source)
Revision as of 16:58, 10 July 2020
, 10 July 2020→Per-Pixel Minimum Reprojection Loss
(Created page with "Digging Into Self-Supervised Monocular Depth Estimation (ICCV 2019) Monodepth2 Authors: Clement Godard, Oisin Mac Aodha, Michael Firman, Gabriel Brostow Affiliations: UCL,...") |
|||
| Line 20: | Line 20: | ||
===Per-Pixel Minimum Reprojection Loss=== | ===Per-Pixel Minimum Reprojection Loss=== | ||
Basically you have two images in a sequence: frame1, frame2, frame3. | |||
Each gives you a loss: | |||
<pre> | |||
loss1 = abs(frame2 - warp(frame1)) | |||
loss2 = abs(frame2 - warp(frame3)) | |||
# Take the minimum over all pixels | |||
loss = mean(min(loss1, loss2)) | |||
</pre> | |||
===Auto-Masking Stationary Pixels=== | ===Auto-Masking Stationary Pixels=== | ||
===Multi-scale Estimation=== | ===Multi-scale Estimation=== | ||