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Final pass | Clean pass | |||||||
---|---|---|---|---|---|---|---|---|
Algorithm | SILog | SqErrorRel | AbsErrorRel | iRMSE | SILog | SqErrorRel | AbsErrorRel | iRMSE |
Megadepth_unscaled [1] | 0.653 | 0.782 | 0.872 | 2.458 | 0.721 | 0.798 | 0.884 | 2.665 |
BTSREF_RVC [2] | 0.503 | 3.763 | 1.073 | 0.322 | 0.550 | 5.284 | 1.253 | 0.337 |
packnSFMHD_RVCR [3] | 0.795 | 21.840 | 2.450 | 0.389 | 0.765 | 26.238 | 2.458 | 0.386 |
RMDP_RVC [4] | 0.539 | 0.604 | 0.573 | 0.408 | 0.598 | 0.739 | 0.646 | 0.389 |
NeWCRFs_RVC [5] | 2.160 | 2248.423 | 20.423 | 0.468 | 1.908 | 1418.594 | 17.555 | 0.464 |
BIGPRE_RVC [6] | 0.436 | 1.440 | 0.711 | 0.317 | 0.453 | 1.479 | 0.780 | 0.315 |
MixBins_RVC [7] | 0.338 | 0.914 | 0.611 | 0.272 | 0.333 | 1.005 | 0.650 | 0.269 |
HABins [8] | 0.307 | 0.645 | 0.536 | 0.262 | 0.334 | 1.192 | 0.699 | 0.289 |
Bumblebee [9] | 0.364 | 2.581 | 0.632 | 0.284 | 0.256 | 0.962 | 0.607 | 0.268 |
Megatron_RVC [10] | 0.312 | 0.974 | 0.544 | 0.269 | 0.222 | 0.667 | 0.530 | 0.280 |
BIGPRE_RVC [11] | 0.394 | 2.473 | 0.932 | 0.268 | 0.383 | 2.297 | 0.988 | 0.281 |
MonoViT_RVC [12] | 0.384 | 1.092 | 0.655 | 0.276 | 0.410 | 1.265 | 0.744 | 0.281 |
Mono_CVD [13] | 0.842 | 0.887 | 0.725 | 0.596 | 0.729 | 0.737 | 0.705 | 0.541 |
ProMotion_depth [14] | 0.462 | 0.374 | 0.542 | 0.375 | 0.480 | 0.377 | 0.541 | 0.357 |
Pformer [15] | 0.491 | 0.461 | 0.570 | 0.514 | 0.541 | 0.538 | 0.594 | 0.486 |
Anonymous submission
Lee, Jin Han and Han, Myung-Kyu and Ko, Dong Wook and Suh, Il Hong. From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation (trained on RVC datasets by rabbitai). arXiv preprint arXiv:1907.10326, 2019
Vitor Guizilini and Rares Ambrus and Sudeep Pillai and Allan Raventos and Adrien Gaidon. 3D Packing for Self-Supervised Monocular Depth Estimation. CVPR, 2020
Anonymous submission
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan. NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.
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