Submission ID: 00061
L2-Net-Upright w/ DEGENSAC
Processed: 20-04-23. Download link: sid-00061-l2net-upright-8k-both-degensac.json
This page ranks the submission against all others using the same number of keypoints, regardless of descriptor size. Please hover over table headers for descriptions on metrics and full scene names.
Metadata
- Authors: Challenge organizers (contact)
- Keypoint: sift8k
- Descriptor: l2net-upright (128 float32: 512 bytes)
- Number of features: 8000
- Summary: Upright L2-Net descriptors on DoG features (OpenCV), extracted with a low detection threshold to generate up to 8000 points. Using the built-in matcher: bidirectional filter with the both strategy. DEGENSAC for stereo.
- Paper: http://openaccess.thecvf.com/content_cvpr_2017/papers/Tian_L2-Net_Deep_Learning_CVPR_2017_paper.pdf
- Website: https://github.com/yuruntian/L2-Net
- Origin: Baseline
- Flags: is_baseline
Phototourism / Stereo track
mAA at 10 degrees: 0.52012 (±0.00106 over 3 run(s) / ±0.13885 over 9 scenes)
Rank (per category): 62 (of 147)
| Scene | Features | Matches (matcher) |
Matches (filter) |
Matches (final) |
Rep. @ 3 px. | MS @ 3 px. | mAA(5o) | mAA(10o) |
| bm | 7956.3 | 512.2 | 512.2 | 332.7 | 0.520 Rank: 93/147 |
0.941 Rank: 64/147 |
0.23615 (±0.00311) Rank: 42/147 |
0.35616 (±0.00178) Rank: 44/147 |
| fcs | 7838.2 | 709.0 | 709.0 | 480.5 | 0.465 Rank: 40/147 |
0.921 Rank: 91/147 |
0.60250 (±0.00097) Rank: 78/147 |
0.71701 (±0.00099) Rank: 83/147 |
| lms | 7720.4 | 475.9 | 475.9 | 257.9 | 0.467 Rank: 74/147 |
0.696 Rank: 53/147 |
0.54289 (±0.00256) Rank: 49/147 |
0.66434 (±0.00161) Rank: 46/147 |
| lb | 7935.2 | 460.7 | 460.7 | 274.9 | 0.492 Rank: 25/147 |
0.765 Rank: 56/147 |
0.46129 (±0.00311) Rank: 42/147 |
0.55853 (±0.00156) Rank: 50/147 |
| mc | 7779.6 | 630.5 | 630.5 | 425.0 | 0.549 Rank: 42/147 |
0.953 Rank: 67/147 |
0.37866 (±0.00311) Rank: 42/147 |
0.53001 (±0.00056) Rank: 70/147 |
| mr | 7758.9 | 618.9 | 618.9 | 451.7 | 0.479 Rank: 30/147 |
0.973 Rank: 45/147 |
0.32021 (±0.00354) Rank: 59/147 |
0.43077 (±0.00439) Rank: 62/147 |
| psm | 7768.4 | 329.5 | 329.5 | 204.3 | 0.407 Rank: 44/147 |
0.639 Rank: 58/147 |
0.14556 (±0.00082) Rank: 73/147 |
0.25913 (±0.00105) Rank: 74/147 |
| sf | 7860.0 | 766.7 | 766.7 | 520.8 | 0.498 Rank: 42/147 |
0.865 Rank: 93/147 |
0.47925 (±0.00317) Rank: 83/147 |
0.61090 (±0.00178) Rank: 86/147 |
| spc | 7849.5 | 483.6 | 483.6 | 277.6 | 0.501 Rank: 51/147 |
0.856 Rank: 73/147 |
0.40767 (±0.00168) Rank: 79/147 |
0.55426 (±0.00130) Rank: 80/147 |
| avg | 7829.6 | 554.1 | 554.1 | 358.4 | 0.486 Rank: 45/147 |
0.845 Rank: 56/147 |
0.39713 (±0.00103) Rank: 60/147 |
0.52012 (±0.00106) Rank: 62/147 |
We show the inliers that survive the robust estimation loop (i.e. RANSAC), or those supplied with the submission if using custom matches, and use the depth estimates to determine whether they are correct. We draw matches above a 5-pixel error threshold in red, and those below are color-coded by their error, from 0 (green) to 5 pixels (yellow). Matches for which we do not have depth estimates are drawn in blue. Please note that the depth maps are estimates and may contain errors.
— british museum —
— florence cathedral side —
— lincoln memorial statue —
— london bridge —
— milan cathedral —
— mount rushmore —
— piazza san marco —
— sagrada familia —
— saint paul's cathedral —
Phototourism / Multiview track
mAA at 10 degrees: 0.68108 (±0.00177 over 3 run(s) / ±0.13051 over 9 scenes)
Rank (per category): 85 (of 147)
| Scene | Features | Matches (input) |
RegistrationRatio (%) | Number of Landmarks |
Track Length | ATE | mAA(50) | mAA(100) |
| bm | 7956.3 | 297.26 | 99.48 Rank: 115/147 |
2139.35 Rank: 123/147 |
4.877 Rank: 93/147 |
0.48819 Rank: 68/147 |
0.44154 (±0.00325) Rank: 75/147 |
0.59192 (±0.00375) Rank: 74/147 |
| fcs | 7838.2 | 466.96 | 97.32 Rank: 112/147 |
4054.33 Rank: 106/147 |
4.640 Rank: 38/147 |
0.26026 Rank: 87/147 |
0.69785 (±0.00415) Rank: 104/147 |
0.77122 (±0.00490) Rank: 101/147 |
| lms | 7720.4 | 297.33 | 98.43 Rank: 115/147 |
2887.49 Rank: 113/147 |
4.458 Rank: 71/147 |
0.27602 Rank: 39/147 |
0.81802 (±0.00544) Rank: 66/147 |
0.87582 (±0.00463) Rank: 71/147 |
| lb | 7935.2 | 358.47 | 98.11 Rank: 98/147 |
2923.64 Rank: 84/147 |
4.729 Rank: 52/147 |
0.50031 Rank: 74/147 |
0.63996 (±0.00749) Rank: 73/147 |
0.73690 (±0.00899) Rank: 72/147 |
| mc | 7779.6 | 410.92 | 99.36 Rank: 104/147 |
3870.96 Rank: 87/147 |
4.678 Rank: 65/147 |
0.40781 Rank: 77/147 |
0.50379 (±0.00449) Rank: 69/147 |
0.65078 (±0.00374) Rank: 73/147 |
| mr | 7758.9 | 489.60 | 94.67 Rank: 51/147 |
4659.67 Rank: 75/147 |
4.255 Rank: 59/147 |
0.50640 Rank: 82/147 |
0.43649 (±0.00462) Rank: 66/147 |
0.54894 (±0.00558) Rank: 65/147 |
| psm | 7768.4 | 157.61 | 87.32 Rank: 105/147 |
2429.49 Rank: 100/147 |
3.402 Rank: 60/147 |
0.67408 Rank: 50/147 |
0.35785 (±0.01292) Rank: 88/147 |
0.42879 (±0.01590) Rank: 94/147 |
| sf | 7860.0 | 574.44 | 96.12 Rank: 130/147 |
5765.95 Rank: 77/147 |
4.449 Rank: 63/147 |
0.32904 Rank: 76/147 |
0.69936 (±0.00300) Rank: 98/147 |
0.78324 (±0.00337) Rank: 103/147 |
| spc | 7849.5 | 273.78 | 97.01 Rank: 131/147 |
3119.28 Rank: 107/147 |
4.175 Rank: 96/147 |
0.58293 Rank: 123/147 |
0.64099 (±0.00202) Rank: 106/147 |
0.74212 (±0.00115) Rank: 103/147 |
| avg | 7829.6 | 369.60 | 96.42 Rank: 105/147 |
3538.91 Rank: 97/147 |
4.407 Rank: 60/147 |
0.44723 Rank: 89/147 |
0.58176 (±0.00197) Rank: 84/147 |
0.68108 (±0.00177) Rank: 85/147 |
In the multi-view track we reconstruct the scene with Structure-from-Motion (Colmap) with small sets of images. We show the results for one bag of 25 images (displaying: 10). Keypoints are drawn in blue if they are part of the model, and in red otherwise.
— british museum —
— florence cathedral side —
— lincoln memorial statue —
— london bridge —
— milan cathedral —
— mount rushmore —
— piazza san marco —
— sagrada familia —
— saint paul's cathedral —
