Results for Anonymous-000-test
Submission data
| Full name | Self-Supervised Scene Motion Decomposition for Dynamic Dense SLAM |
| Programming language(s) | Python with CUDA |
| Hardware | Xeon(R) Gold 6226R, GeForce RTX 3090 |
| Submission creation date | 24 Jan, 2022 |
| Last edited | 24 Jan, 2022 |
High-res multi-view results
| Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No results yet. | ||||||||||||||||
Low-res many-view results
| Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
|---|---|---|---|---|---|---|---|---|---|
| No results yet. | |||||||||
Low-res two-view results
SLAM results
| all | boxes | boxes dark | buddha | cables 4 | cables 5 | desk 1 | desk 2 | desk changing 2 | desk dark 1 | desk dark 2 | desk global light changes | desk ir light | dino | drone | foreground occlusion | helmet | kidnap 2 | lamp | large loop 2 | large loop 3 | large non loop | motion 2 | motion 3 | motion 4 | planar 1 | reflective 2 | scale change | table 1 | table 2 | table 5 | table 6 | table global light changes | table local light changes | table scene | trashbin | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Method | Info | |||||||||||||||||||||||||||||||||||||
 | 27.93 | 0.14 | fail | fail | 0.48 | 0.35 | 4.59 | 5.99 | 0.80 | fail | 2.83 | 0.07 | fail | 0.22 | 0.09 | 0.75 | fail | 3.19 | 3.88 | 2.21 | 4.88 | 0.42 | 0.58 | fail | 0.55 | fail | 0.27 | 0.24 | fail | 0.28 | 0.97 | 3.40 | 1.15 | 0.49 | 0.21 |