Leaderboard

Final passClean pass
AlgorithmSILogSqErrorRelAbsErrorReliRMSESILogSqErrorRelAbsErrorReliRMSE
Megadepth_unscaled [1] 0.653 0.7820.8722.4580.721 0.7980.8842.665
BTSREF_RVC [2] 0.503 3.7631.0730.3220.550 5.2841.2530.337
packnSFMHD_RVCR [3] 0.795 21.8402.4500.3890.765 26.2382.4580.386
RMDP_RVC [4] 0.539 0.6040.5730.4080.598 0.7390.6460.389
NeWCRFs_RVC [5] 2.160 2248.42320.4230.4681.908 1418.59417.5550.464
BIGPRE_RVC [6] 0.436 1.4400.7110.3170.453 1.4790.7800.315
MixBins_RVC [7] 0.338 0.9140.6110.2720.333 1.0050.6500.269
MixBins [8] 0.307 0.6450.5360.2620.334 1.1920.6990.289
Bumblebee [9] 0.364 2.5810.6320.2840.256 0.9620.6070.268
Megatron_RVC [10] 0.312 0.9740.5440.2690.222 0.6670.5300.280
BIGPRE_RVC [11] 0.394 2.4730.9320.2680.383 2.2970.9880.281
MonoViT_RVC [12] 0.384 1.0920.6550.2760.410 1.2650.7440.281

References

  1. Anonymous submission

  2. 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

  3. Vitor Guizilini and Rares Ambrus and Sudeep Pillai and Allan Raventos and Adrien Gaidon. 3D Packing for Self-Supervised Monocular Depth Estimation. CVPR, 2020

  4. Anonymous submission

  5. Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan. NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.

  6. Anonymous submission

  7. Anonymous submission

  8. Anonymous submission

  9. Anonymous submission

  10. Anonymous submission

  11. Anonymous submission

  12. Anonymous submission