Benchmark
Listed below are the public results on the three benchmark datasets. The localization results are reported as the percentage of query images which where localized within three given translation and rotation thresholds, for each condition.
Aachen Day-Night dataset
Localization thresholds:
- Day: (0.25m, 2°) / (0.5m, 5°) / (5m, 10°)
- Night: (0.5m, 2°) / (1m, 5°) / (5m, 10°)
| Method | day | night | Last updated |
|---|---|---|---|
| NetVLAD (top-20) & D2-Net - multi-scale | 84.8 / 92.6 / 97.5 | 43.9 / 66.3 / 85.7 | Nov. 1, 2019, 9:49 a.m. |
| ONavi-H | 77.7 / 89.0 / 95.8 | 49.0 / 65.3 / 85.7 | Sept. 24, 2019, 9:31 a.m. |
| UR2KID (global: ur2kid-top20, local: ur2kid-single-scale, db2db: gt & top20 neighbor) | 78.8 / 87.7 / 93.1 | 44.9 / 64.3 / 82.7 | Nov. 8, 2019, 11:25 p.m. |
| IR30+ML | 77.1 / 90.5 / 97.5 | 43.9 / 61.2 / 82.7 | Aug. 2, 2019, 12:31 p.m. |
| Visual Localization Using Sparse Semantic 3D Map | 71.8 / 91.5 / 96.8 | 40.8 / 63.3 / 80.6 | June 2, 2019, 4 a.m. |
| DenseVLAD (top-50) & D2-Net - multi-scale | 83.1 / 90.9 / 95.5 | 40.8 / 62.2 / 80.6 | Nov. 1, 2019, 9:49 a.m. |
| Hierarchical-Localization NetVLAD+SuperPoint | 80.5 / 87.4 / 94.2 | 42.9 / 62.2 / 76.5 | June 1, 2019, 9:50 a.m. |
| Hierarchical-Localization (multi-camera when available) | 80.5 / 87.4 / 94.2 | 42.9 / 62.2 / 76.5 | June 2, 2019, 6:55 a.m. |
| DenseVLAD & D2-Net (top-20) | 80.1 / 88.0 / 93.4 | 39.8 / 55.1 / 74.5 | Oct. 31, 2019, 12:58 a.m. |
| Active Search v1.1 | 85.3 / 92.2 / 97.9 | 27.6 / 38.8 / 56.1 | Aug. 14, 2019, 1 p.m. |
| Cascaded Parallel Filtering for Memory-Efficient Image-based Localization | 76.7 / 88.6 / 95.8 | 25.5 / 38.8 / 54.1 | July 19, 2019, 10:10 a.m. |
| Asymmetric Hypercolumn Matching | 47.8 / 72.2 / 91.3 | 30.6 / 53.1 / 78.6 | June 5, 2019, 7:28 p.m. |
| UR2KID Scape Technologies (paper coming soon, not scene specific, single scale) | 0.0 / 0.0 / 0.0 | 46.9 / 67.3 / 88.8 | July 3, 2019, 3:39 p.m. |
| D2-Net - single-scale | 0.0 / 0.0 / 0.0 | 45.9 / 68.4 / 88.8 | July 16, 2019, 12:21 p.m. |
| NetVLAD+SuperPoint top 10 (baseline) | 33.9 / 48.8 / 78.5 | 25.5 / 45.9 / 80.6 | June 1, 2019, 8:59 p.m. |
| R2D2 10k keypoints | 0.0 / 0.0 / 0.0 | 45.9 / 66.3 / 88.8 | June 17, 2019, 9:56 a.m. |
| DFC-Net | 0.0 / 0.0 / 0.0 | 44.9 / 67.3 / 88.8 | Sept. 19, 2019, 12:56 p.m. |
| densecontextdesc10k_upright_mixedmatcher_v2 | 0.0 / 0.0 / 0.0 | 48.0 / 63.3 / 88.8 | Aug. 30, 2019, 8:25 a.m. |
| sgnet-vl | 0.0 / 0.0 / 0.0 | 46.9 / 65.3 / 88.8 | Oct. 1, 2019, 11:47 a.m. |
| densecontextdesc10k_upright_mixedmatcher | 0.0 / 0.0 / 0.0 | 46.9 / 65.3 / 87.8 | July 16, 2019, 11:13 a.m. |
| CityScaleLocalization | 52.3 / 80.0 / 94.3 | 24.5 / 33.7 / 49.0 | May 10, 2019, 2:22 p.m. |
| swnet-single | 0.0 / 0.0 / 0.0 | 43.9 / 64.3 / 87.8 | Oct. 17, 2019, 9 a.m. |
| Localizing Visual Landmarks for 2D matching | 62.4 / 71.8 / 79.9 | 24.5 / 35.7 / 44.9 | April 20, 2019, 5:21 p.m. |
| D2-Net - single-scale off-the-shelf | 0.0 / 0.0 / 0.0 | 41.8 / 69.4 / 86.7 | July 16, 2019, 4:57 p.m. |
| Active Search | 57.3 / 83.7 / 96.6 | 19.4 / 30.6 / 43.9 | March 13, 2019, 9 a.m. |
| DELF - new model | 0.0 / 0.0 / 0.0 | 39.8 / 61.2 / 85.7 | June 12, 2019, 3:52 p.m. |
| DELF - old model | 0.0 / 0.0 / 0.0 | 39.8 / 60.2 / 84.7 | May 21, 2019, 2:52 p.m. |
| saliency_ranking_net (multi-scale) | 0.0 / 0.0 / 0.0 | 44.9 / 59.2 / 77.6 | April 29, 2019, 2:33 p.m. |
| DGCNCCC | 22.9 / 49.8 / 84.7 | 19.4 / 37.8 / 68.4 | May 30, 2019, 10:17 a.m. |
| SuperPoint (baseline) | 0.0 / 0.0 / 0.0 | 42.9 / 57.1 / 77.6 | July 18, 2019, 8:24 a.m. |
| densecontextdesc10k_upright | 0.0 / 0.0 / 0.0 | 41.8 / 57.1 / 79.6 | Aug. 27, 2019, 11:11 a.m. |
| contextdesc10_upright | 0.0 / 0.0 / 0.0 | 40.8 / 55.1 / 80.6 | Aug. 27, 2019, 11:10 a.m. |
| HesAffNet-HardNet2 | 0.0 / 0.0 / 0.0 | 37.8 / 54.1 / 75.5 | May 31, 2019, 10:35 p.m. |
| ESAC (50 Experts) | 42.6 / 59.6 / 75.5 | 3.1 / 9.2 / 11.2 | Aug. 8, 2019, 7:14 a.m. |
| m2_real | 0.0 / 0.0 / 0.0 | 34.7 / 50.0 / 66.3 | Nov. 15, 2019, 4:44 p.m. |
| Upright RootSIFT (Feature Challenge Baseline) | 0.0 / 0.0 / 0.0 | 33.7 / 52.0 / 65.3 | May 2, 2019, 8:57 a.m. |
| ESAC (20 Experts) | 39.7 / 55.9 / 77.8 | 2.0 / 8.2 / 11.2 | Aug. 8, 2019, 7:13 a.m. |
| ESAC (10 Experts) | 30.3 / 49.3 / 73.7 | 2.0 / 5.1 / 7.1 | Aug. 8, 2019, 7:13 a.m. |
| Superpoint+PQ | 46.2 / 65.9 / 86.5 | 0.0 / 0.0 / 0.0 | Sept. 17, 2019, 9:30 a.m. |
| m2 | 0.0 / 0.0 / 0.0 | 27.6 / 42.9 / 60.2 | Nov. 14, 2019, 11:38 p.m. |
| ELF | 0.0 / 0.0 / 0.0 | 13.3 / 21.4 / 30.6 | May 3, 2019, 8:36 p.m. |
| DSAC++ | 0.4 / 2.4 / 34.0 | 0.0 / 0.0 / 3.1 | Aug. 8, 2019, 7:15 a.m. |
| DenseVLAD | 0.0 / 0.1 / 22.8 | 0.0 / 2.0 / 14.3 | April 11, 2019, 5:43 p.m. |
| NetVLAD | 0.0 / 0.2 / 18.9 | 0.0 / 2.0 / 12.2 | May 31, 2019, 11:16 p.m. |
| Localizing Visual Landmarks for Place Recognition | 0.0 / 0.2 / 20.8 | 0.0 / 1.0 / 10.2 | June 2, 2019, 10:06 p.m. |
| NetVlad_NN_Pose | 0.0 / 0.1 / 7.0 | 0.0 / 0.0 / 4.1 | March 17, 2019, 11:46 a.m. |
| joint image segemation and depth to posenet | 0.0 / 0.1 / 24.9 | 0.0 / 0.0 / 0.0 | May 31, 2019, 11:45 a.m. |
| FAB-MAP | 0.0 / 0.0 / 4.6 | 0.0 / 0.0 / 0.0 | March 13, 2019, 11:54 a.m. |
CMU Seasons dataset
Localization thresholds:
- All conditions: (0.25m, 2°) / (0.5m, 5°) / (5m, 10°)
| Method | urban | suburban | park | Last updated |
|---|---|---|---|---|
| Hierarchical-Localization NetVLAD+SuperPoint | 91.7 / 94.6 / 97.7 | 74.5 / 81.5 / 91.3 | 54.3 / 62.5 / 79.0 | June 1, 2019, 9:50 a.m. |
| LocalSfM (Upright RootSIFT) (has partial access to ground truth) | 72.8 / 74.1 / 76.1 | 55.2 / 57.7 / 61.3 | 41.8 / 44.5 / 48.7 | March 13, 2019, 11:42 a.m. |
| Semantic Match Consistency | 75.0 / 82.1 / 87.8 | 44.0 / 53.6 / 63.7 | 30.0 / 37.9 / 48.2 | March 18, 2019, 11:47 p.m. |
| Active Search v1.1 | 68.9 / 75.7 / 83.4 | 36.2 / 44.4 / 56.0 | 24.8 / 31.1 / 41.5 | Aug. 12, 2019, 6:38 a.m. |
| EffecientPairWise2D-3DMatching | 64.1 / 67.8 / 71.5 | 30.2 / 35.5 / 40.9 | 23.8 / 28.1 / 34.0 | March 20, 2019, 9:52 a.m. |
| DenseVLAD | 22.2 / 48.6 / 92.8 | 9.8 / 26.6 / 85.2 | 10.3 / 27.1 / 77.0 | April 15, 2019, 11:03 a.m. |
| 600 | 21.9 / 45.8 / 83.6 | 10.2 / 24.9 / 70.5 | 11.8 / 29.9 / 73.0 | Oct. 9, 2019, 1:16 p.m. |
| Active Search | 55.2 / 60.3 / 65.1 | 20.7 / 25.9 / 29.9 | 12.7 / 16.3 / 20.8 | March 13, 2019, 9:04 a.m. |
| 900 | 21.8 / 45.6 / 83.6 | 10.1 / 24.7 / 70.4 | 11.9 / 30.0 / 73.4 | Oct. 9, 2019, 1:17 p.m. |
| 800 | 21.8 / 45.6 / 83.5 | 10.1 / 24.8 / 70.4 | 11.9 / 29.9 / 73.1 | Oct. 10, 2019, 5:06 a.m. |
| 850 | 21.8 / 45.5 / 83.5 | 10.1 / 24.8 / 70.6 | 11.8 / 29.8 / 73.2 | Oct. 10, 2019, 5:06 a.m. |
| 1200 | 21.7 / 45.4 / 83.4 | 10.0 / 24.6 / 70.5 | 11.8 / 29.9 / 73.6 | Oct. 9, 2019, 1:21 p.m. |
| 900 plain | 21.7 / 45.4 / 83.4 | 10.0 / 24.6 / 70.3 | 11.8 / 29.8 / 73.1 | Oct. 10, 2019, 3:36 p.m. |
| 750 | 21.7 / 45.6 / 83.4 | 10.0 / 24.7 / 70.0 | 11.8 / 29.7 / 72.4 | Oct. 10, 2019, 5:05 a.m. |
| 550 | 21.8 / 45.6 / 83.5 | 10.1 / 25.0 / 70.1 | 11.7 / 29.5 / 72.2 | Oct. 10, 2019, 3:26 p.m. |
| 700 | 21.6 / 45.4 / 83.1 | 10.0 / 24.6 / 69.8 | 11.7 / 29.3 / 71.5 | Oct. 10, 2019, 5:05 a.m. |
| Grad-SAM cos | 20.4 / 45.2 / 88.9 | 9.9 / 25.4 / 75.5 | 11.5 / 29.1 / 78.3 | Sept. 15, 2019, 6:05 p.m. |
| Grad-SAM | 20.1 / 45.0 / 89.6 | 9.9 / 25.7 / 77.6 | 11.4 / 29.1 / 79.7 | Sept. 15, 2019, 12:45 p.m. |
| DIFL+FCL (urban model and square-resized) | 20.2 / 44.7 / 87.8 | 9.7 / 25.0 / 73.7 | 11.4 / 28.9 / 76.4 | Sept. 25, 2019, 11:14 a.m. |
| 650 | 21.7 / 45.4 / 83.0 | 10.0 / 24.5 / 69.0 | 11.3 / 28.6 / 70.0 | Oct. 10, 2019, 5:02 a.m. |
| DIFL+FCL | 20.2 / 45.0 / 87.1 | 9.1 / 23.3 / 69.3 | 10.1 / 26.4 / 74.0 | Sept. 25, 2019, 11:03 a.m. |
| NetVLAD | 17.4 / 40.3 / 93.2 | 7.6 / 21.0 / 80.5 | 5.6 / 15.7 / 65.8 | April 11, 2019, 9:16 p.m. |
| CityScaleLocalization | 36.7 / 42.0 / 53.1 | 8.6 / 11.7 / 21.1 | 7.0 / 9.6 / 17.0 | March 13, 2019, 11:59 a.m. |
| FAB-MAP | 2.7 / 6.4 / 27.3 | 0.5 / 1.5 / 13.6 | 0.8 / 1.7 / 11.5 | March 13, 2019, 11:49 a.m. |
Extended CMU Seasons dataset
Localization thresholds:
- All conditions: (0.25m, 2°) / (0.5m, 5°) / (5m, 10°)
| Method | urban | suburban | park | Last updated |
|---|---|---|---|---|
| PFSL FGSN 200 classes (sequential localization) | 94.1 / 99.3 / 100.0 | 100.0 / 100.0 / 100.0 | 97.6 / 99.9 / 99.9 | Nov. 4, 2019, 1:37 p.m. |
| PFSL Cityscapes classes (sequential localization) | 88.1 / 93.8 / 100.0 | 97.4 / 99.2 / 100.0 | 81.8 / 97.2 / 99.9 | Nov. 4, 2019, 1:40 p.m. |
| Hierarchical-Localization (multi-camera when available) | 91.6 / 96.4 / 99.1 | 84.7 / 91.5 / 98.6 | 69.3 / 77.8 / 90.5 | June 2, 2019, 6:55 a.m. |
| DenseVLAD & D2-Net | 94.0 / 97.7 / 99.1 | 93.0 / 95.7 / 98.3 | 66.3 / 69.7 / 71.1 | Oct. 31, 2019, 12:58 a.m. |
| Visual Localization Using Sparse Semantic 3D Map | 88.8 / 93.6 / 96.3 | 78.0 / 83.8 / 89.2 | 63.6 / 70.3 / 77.3 | June 2, 2019, 4 a.m. |
| Hierarchical-Localization NetVLAD+SuperPoint | 89.5 / 94.2 / 97.9 | 76.5 / 82.7 / 92.7 | 57.4 / 64.4 / 80.4 | June 1, 2019, 9:50 a.m. |
| Asymmetric Hypercolumn Matching | 65.7 / 82.7 / 91.0 | 66.5 / 82.6 / 92.9 | 54.3 / 71.6 / 84.1 | June 5, 2019, 7:24 p.m. |
| Match Consistency with Fine-Grained Segmentations (FGSN+SSMC) | 85.3 / 91.0 / 94.6 | 69.5 / 76.4 / 83.7 | 51.4 / 57.6 / 65.5 | Aug. 20, 2019, 6:34 a.m. |
| Match Consistency with Fine-Grained Segmentations (GSMC-200) | 86.4 / 91.2 / 93.8 | 77.0 / 82.9 / 88.7 | 38.9 / 43.4 / 50.0 | Aug. 20, 2019, 7:44 p.m. |
| Localizing Visual Landmarks for 2D matching | 84.3 / 89.3 / 93.0 | 68.0 / 75.1 / 84.4 | 42.4 / 51.4 / 69.7 | April 25, 2019, 8:12 a.m. |
| CityScaleLocalization | 71.2 / 74.6 / 78.7 | 57.8 / 61.7 / 67.5 | 34.5 / 37.0 / 42.2 | March 8, 2019, 8:20 p.m. |
| Localizing Visual Landmarks for Place Recognition | 17.3 / 42.5 / 89.0 | 5.8 / 19.4 / 76.1 | 6.6 / 23.1 / 73.0 | June 2, 2019, 10:07 p.m. |
| DGCNCCC | 17.1 / 41.5 / 89.1 | 8.9 / 26.8 / 77.1 | 4.8 / 16.2 / 63.3 | June 2, 2019, 1:27 p.m. |
| Netvlad_localization | 16.4 / 38.5 / 78.9 | 8.8 / 27.1 / 77.0 | 4.7 / 16.0 / 63.2 | June 25, 2019, 9:44 p.m. |
| DenseVLAD | 14.7 / 36.3 / 83.9 | 5.3 / 18.7 / 73.9 | 5.2 / 19.1 / 62.0 | March 12, 2019, 3:21 p.m. |
| NetVLAD | 12.2 / 31.5 / 89.8 | 3.7 / 13.9 / 74.7 | 2.6 / 10.4 / 55.9 | June 2, 2019, 9:12 a.m. |
| joint image segemation and depth to posenet | 0.3 / 1.5 / 31.9 | 0.1 / 0.3 / 12.5 | 0.0 / 0.2 / 9.0 | May 31, 2019, 11:46 a.m. |
RobotCar Seasons dataset
Localization thresholds:
- All conditions: (0.25m, 2°) / (0.5m, 5°) / (5m, 10°)
| Method | day all | night all | Last updated |
|---|---|---|---|
| SIFT+IR50+SIG+FM+R70_85+MUL+RE3+GPNP+MERGE | 57.2 / 81.5 / 97.4 | 9.3 / 30.1 / 53.3 | Sept. 2, 2019, 2:03 a.m. |
| DenseVLAD & D2-Net | 54.5 / 80.0 / 95.3 | 20.4 / 40.1 / 55.0 | Oct. 31, 2019, 12:58 a.m. |
| Visual Localization Using Sparse Semantic 3D Map | 54.5 / 81.6 / 96.7 | 12.3 / 28.5 / 46.5 | June 2, 2019, 4 a.m. |
| Hierarchical-Localization (multi-camera when available) | 53.8 / 80.4 / 96.0 | 11.2 / 27.7 / 49.1 | June 2, 2019, 6:54 a.m. |
| Semantic Match Consistency | 50.3 / 79.3 / 95.2 | 7.1 / 22.4 / 45.3 | March 18, 2019, 11:47 p.m. |
| Active Search v1.1 w/ pose prior | 50.9 / 80.2 / 96.6 | 6.9 / 15.6 / 31.7 | Aug. 11, 2019, 9:40 p.m. |
| superpoint | 52.3 / 78.9 / 94.3 | 15.9 / 37.8 / 87.8 | Oct. 11, 2019, 9:28 a.m. |
| Active Search on sequences of camera triplets (uses ground truth relative poses) | 46.6 / 80.1 / 97.0 | 5.8 / 21.0 / 43.1 | March 13, 2019, 12:03 p.m. |
| Hierarchical-Localization NetVLAD+SuperPoint | 53.1 / 79.1 / 95.5 | 7.2 / 17.4 / 34.4 | June 1, 2019, 9:50 a.m. |
| msnet | 53.2 / 78.4 / 96.4 | 4.0 / 11.3 / 21.3 | Oct. 31, 2019, 12:38 p.m. |
| Asymmetric Hypercolumn Matching | 45.7 / 78.0 / 95.1 | 22.3 / 61.8 / 94.5 | June 5, 2019, 7:25 p.m. |
| s2dhm | 46.4 / 77.6 / 95.1 | 30.0 / 68.8 / 94.6 | Oct. 11, 2019, 3:31 a.m. |
| Localizing Visual Landmarks for 2D matching | 51.1 / 77.7 / 92.3 | 13.8 / 30.3 / 57.7 | May 16, 2019, 2:09 a.m. |
| EffecientPairWise2D-3DMatching | 42.6 / 78.2 / 95.7 | 8.5 / 14.1 / 20.6 | March 20, 2019, 9:52 a.m. |
| Cascaded Parallel Filtering for Memory-Efficient Image-based Localization | 48.0 / 78.0 / 94.2 | 3.4 / 9.5 / 17.0 | July 19, 2019, 10:08 a.m. |
| Active Seach on Camera Triplets | 45.5 / 77.0 / 94.7 | 2.7 / 6.9 / 12.1 | March 13, 2019, 9:31 a.m. |
| Active Search v1.1 | 43.6 / 76.0 / 94.0 | 1.8 / 7.4 / 14.2 | Aug. 11, 2019, 9:48 p.m. |
| CityScaleLocalization | 45.3 / 73.5 / 90.1 | 0.6 / 2.6 / 7.2 | March 13, 2019, 11:59 a.m. |
| Active Search | 35.6 / 67.9 / 90.4 | 0.9 / 2.1 / 4.3 | March 13, 2019, 9:04 a.m. |
| DenseVLAD (single-scale, top-1 interpolation) | 9.8 / 32.8 / 90.7 | 1.8 / 6.6 / 25.6 | May 29, 2019, 3:27 p.m. |
| ToDayGAN + DenseVLAD | 7.6 / 31.2 / 91.2 | 2.2 / 10.8 / 50.5 | May 27, 2019, 8:05 p.m. |
| DenseVLAD (single-scale) | 8.1 / 31.8 / 90.7 | 1.3 / 5.7 / 25.5 | May 29, 2019, 1 p.m. |
| DenseVLAD | 7.6 / 31.2 / 91.2 | 1.0 / 4.4 / 22.7 | April 11, 2019, 5:44 p.m. |
| Localizing Visual Landmarks for Place Recognition | 7.9 / 30.0 / 85.9 | 4.1 / 15.7 / 59.1 | June 2, 2019, 10:07 p.m. |
| DenseVLAD (single scale) with CLAHE pre-processing | 7.4 / 30.1 / 88.7 | 0.9 / 5.0 / 25.3 | Aug. 23, 2019, 12:37 p.m. |
| Grad-SAM | 7.4 / 25.8 / 76.4 | 3.4 / 8.7 / 25.1 | Sept. 15, 2019, 12:45 p.m. |
| NetVLAD | 6.4 / 26.3 / 90.9 | 0.3 / 2.3 / 15.9 | June 2, 2019, 9:12 a.m. |
| DGCNCCC | 7.2 / 28.3 / 87.6 | 0.0 / 1.1 / 13.4 | May 21, 2019, 7:38 a.m. |
| nearest_neighbor | 4.1 / 17.9 / 87.0 | 2.4 / 11.6 / 84.6 | Oct. 11, 2019, 9:09 a.m. |
| COCL_HR | 12.7 / 60.6 / 75.4 | 0.5 / 1.6 / 2.2 | May 30, 2019, 9:20 a.m. |
| FAB-MAP | 2.7 / 11.8 / 37.3 | 0.0 / 0.0 / 0.0 | March 13, 2019, 11:50 a.m. |
| joint image segemation and depth to posenet | 0.1 / 0.8 / 31.0 | 0.0 / 0.0 / 0.0 | May 31, 2019, 11:46 a.m. |
| baseline_800 | 0.0 / 0.0 / 0.0 | 5.2 / 16.5 / 34.4 | Nov. 9, 2019, 7:12 a.m. |
InLoc dataset
Localization thresholds:
- All conditions: (0.25m, 10°) / (0.5m, 10°) / (1m, 10°)
| Method | duc1 | duc2 | Last updated |
|---|---|---|---|
| D2-Net - multi-scale (210 poses) & InLoc (146 poses) | 42.9 / 63.1 / 75.3 | 40.5 / 61.8 / 77.9 | Nov. 1, 2019, 9:50 a.m. |
| DensePV+S (w/ scan-graph) | 40.9 / 63.6 / 71.7 | 42.7 / 61.8 / 71.0 | Aug. 20, 2019, 4:39 p.m. |
| DensePNV+S (w/ scan-graph) | 40.4 / 62.1 / 73.7 | 42.7 / 61.1 / 70.2 | Aug. 20, 2019, 4:36 p.m. |
| DensePNV (w/ scan-graph) | 39.4 / 62.1 / 74.7 | 42.7 / 61.1 / 70.2 | Aug. 20, 2019, 4:51 p.m. |
| D2-Net - multi-scale off-the-shelf (174 poses) & InLoc (182 poses) | 43.9 / 61.6 / 73.7 | 42.0 / 60.3 / 74.8 | Nov. 1, 2019, 9:50 a.m. |
| DensePNV+S (w/o scan-graph) | 39.9 / 60.1 / 71.2 | 40.5 / 60.3 / 74.8 | Aug. 20, 2019, 4:57 p.m. |
| InLoc (w/ scan-graph) | 38.9 / 59.6 / 67.7 | 42.0 / 61.1 / 71.0 | Aug. 20, 2019, 4:45 p.m. |
| DensePV+S (w/o scan-graph) | 40.9 / 60.6 / 71.7 | 38.2 / 55.7 / 70.2 | Aug. 20, 2019, 4:47 p.m. |
| DensePNV (w/o scan-graph) | 39.9 / 58.6 / 70.7 | 40.5 / 60.3 / 74.8 | Aug. 20, 2019, 4:50 p.m. |
| Visual Localization Using Sparse Semantic 3D Map | 41.4 / 59.1 / 71.2 | 38.2 / 49.6 / 58.0 | June 2, 2019, 4 a.m. |
| InLoc | 40.9 / 58.1 / 70.2 | 35.9 / 54.2 / 69.5 | April 30, 2019, 1:52 p.m. |
| D2-Net - multi-scale | 44.4 / 58.6 / 71.2 | 31.3 / 49.6 / 67.9 | Nov. 1, 2019, 9:50 a.m. |
| DFC-Net | 42.9 / 57.1 / 69.2 | 32.1 / 51.1 / 67.2 | Sept. 19, 2019, 12:57 p.m. |
| D2-Net - multi-scale off-the-shelf | 42.4 / 56.6 / 66.2 | 31.3 / 50.4 / 64.1 | Nov. 1, 2019, 9:50 a.m. |
| DisLoc+SparsePE | 23.7 / 34.3 / 49.5 | 16.8 / 24.4 / 32.8 | May 30, 2019, 9:57 a.m. |
| IR_Q_ONE_ONE | 15.7 / 22.2 / 30.3 | 7.6 / 16.0 / 25.2 | Nov. 1, 2019, 9:53 a.m. |
| IRLP_Q_ONE_ONE | 16.2 / 21.2 / 28.3 | 6.1 / 13.7 / 16.0 | Nov. 14, 2019, 10:53 a.m. |
| IRL_Q_ONE_ONE | 11.1 / 16.7 / 21.2 | 7.6 / 10.7 / 15.3 | Nov. 14, 2019, 2:49 a.m. |
| DenseVLAD | 0.0 / 1.5 / 5.1 | 0.0 / 0.8 / 2.3 | April 30, 2019, 3:02 p.m. |
SILDa Weather and Time of Day dataset
Localization thresholds:
- All conditions: (0.25m, 2°) / (0.5m, 5°) / (5m, 10°)
| Method | evening | snow | night | Last updated |
|---|---|---|---|---|
| NetVLAD (top-50) & D2-Net - multi-scale | 29.6 / 67.8 / 94.8 | 6.0 / 16.4 / 72.3 | 25.6 / 51.6 / 79.9 | Nov. 1, 2019, 9:50 a.m. |
| NetVLAD (top-50) & D2-Net - single-scale | 30.0 / 67.8 / 94.4 | 1.4 / 10.8 / 67.5 | 25.7 / 51.9 / 79.9 | Sept. 26, 2019, 10:28 a.m. |
| NetVLAD (top-20) & D2-Net - single-scale | 28.1 / 66.8 / 93.5 | 1.7 / 11.1 / 67.3 | 24.4 / 49.0 / 75.7 | Sept. 25, 2019, 3:05 p.m. |
| DenseVLAD (top-50) + Colmap Image Registrator | 30.6 / 63.3 / 82.4 | 1.9 / 12.0 / 58.2 | 21.6 / 44.4 / 69.3 | Sept. 24, 2019, 8:58 a.m. |
| Visual Localization Using Sparse Semantic 3D Map | 29.4 / 66.5 / 93.4 | 2.2 / 11.1 / 57.4 | 20.4 / 41.8 / 69.0 | June 2, 2019, 4 a.m. |
| DenseVLAD (top-20) + Colmap Image Registrator | 28.2 / 56.2 / 71.2 | 3.1 / 9.4 / 36.8 | 16.3 / 33.4 / 50.7 | April 30, 2019, 12:24 p.m. |
| Localizing Visual Landmarks for Place Recognition | 0.3 / 7.1 / 41.0 | 0.0 / 0.0 / 0.9 | 0.0 / 2.7 / 56.9 | June 2, 2019, 10:06 p.m. |
| DenseVLAD | 0.2 / 6.2 / 42.1 | 0.0 / 0.0 / 0.7 | 0.0 / 2.6 / 53.9 | April 18, 2019, 12:59 p.m. |
| DGCNCCC | 0.0 / 0.0 / 0.0 | 0.0 / 0.0 / 0.0 | 0.0 / 0.0 / 0.0 | May 19, 2019, 1:16 p.m. |