task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Depth Estimation > Monocular Depth Estimation | Hypersim | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | absolute relative error | 0.381 |
Depth Estimation > Monocular Depth Estimation | Hypersim | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | RMSE | 4.825 |
Depth Estimation > Monocular Depth Estimation | Virtual KITTI 2 | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | Delta < 1.25 | 0.834 |
Depth Estimation > Monocular Depth Estimation | Virtual KITTI 2 | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | absolute relative error | 0.12 |
Depth Estimation > Monocular Depth Estimation | Virtual KITTI 2 | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | RMSE | 4.747 |
Depth Estimation > Monocular Depth Estimation | DIML Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | Delta < 1.25 | 0.058 |
Depth Estimation > Monocular Depth Estimation | DIML Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | absolute relative error | 1.007 |
Depth Estimation > Monocular Depth Estimation | DIML Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | RMSE | 4.344 |
Depth Estimation > Monocular Depth Estimation | DIODE Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | Delta < 1.25 | 0.262 |
Depth Estimation > Monocular Depth Estimation | DIODE Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | absolute relative error | 0.562 |
Depth Estimation > Monocular Depth Estimation | DIODE Outdoor | ScaleDepth-NK | https://arxiv.org/abs/2407.08187v1 | RMSE | 8.632 |
Depth Estimation > Stereo Depth Estimation | Spring | ACVNet | https://arxiv.org/abs/2203.02146v3 | 1px total | 14.772 |
Depth Estimation > Stereo Depth Estimation | Spring | RAFT-Stereo | https://arxiv.org/abs/2109.07547v1 | 1px total | 15.273 |
Depth Estimation > Stereo Depth Estimation | Spring | LEA-Stereo | https://arxiv.org/abs/2010.13501v1 | 1px total | 19.888 |
Depth Estimation > Stereo Depth Estimation | Spring | GA-Net | http://arxiv.org/abs/1904.06587v1 | 1px total | 23.225 |
Depth Estimation > Stereo Depth Estimation | KITTI2012 | AnyNet | http://arxiv.org/abs/1810.11408v2 | three pixel error | 6.1 |
Depth Estimation > Stereo Depth Estimation | KITTI 2015 | MoCha-Stereo | https://arxiv.org/abs/2404.06842v4 | D1-all All | 1.53 |
Depth Estimation > Stereo Depth Estimation | KITTI 2015 | MoCha-Stereo | https://arxiv.org/abs/2404.06842v4 | D1-all Noc | 1.44 |
Depth Estimation > Stereo Depth Estimation | KITTI 2015 | TriStereoNet | https://arxiv.org/abs/2111.12502v2 | D1-all All | 2.35 |
Depth Estimation > Stereo Depth Estimation | KITTI 2015 | TriStereoNet | https://arxiv.org/abs/2111.12502v2 | D1-all Noc | 2.09 |
Depth Estimation > Stereo Depth Estimation | sceneflow | 3D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | Average End-Point Error | 0.80 |
Depth Estimation > Stereo Depth Estimation | sceneflow | 3D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | EPE | 0.80 |
Depth Estimation > Stereo Depth Estimation | sceneflow | stereonet | http://arxiv.org/abs/1807.08865v1 | Average End-Point Error | 1.1 |
Depth Estimation > Stereo Depth Estimation | sceneflow | 2D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | Average End-Point Error | 1.14 |
Depth Estimation > Stereo Depth Estimation | sceneflow | 2D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | EPE | 1.14 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | AnyNet | http://arxiv.org/abs/1810.11408v2 | three pixel error | 6.2 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | 3D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | three pixel error | 1.69 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | CDN-GANet Deep | https://arxiv.org/abs/2007.03085v2 | three pixel error | 1.92 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | HITNET | https://arxiv.org/abs/2007.12140v5 | three pixel error | 2.43 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | 2D-MobileStereoNet | https://arxiv.org/abs/2108.09770v1 | three pixel error | 2.67 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | TriStereoNet | https://arxiv.org/abs/2111.12502v2 | D1-all All | 2.35 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | TriStereoNet | https://arxiv.org/abs/2111.12502v2 | D1-all Noc | 2.09 |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | ChiTransformer | http://openaccess.thecvf.com//content/CVPR2022/html/Su_Chitransformer_Towards_Reliable_Stereo_From_Cues_CVPR_2022_paper.html | D1-all All | 2.60 (self-sup.) |
Depth Estimation > Stereo Depth Estimation | KITTI2015 | ChiTransformer | http://openaccess.thecvf.com//content/CVPR2022/html/Su_Chitransformer_Towards_Reliable_Stereo_From_Cues_CVPR_2022_paper.html | D1-all Noc | 2.38 (self-sup.) |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Depth-MAE | 1.463 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Depth-RMSE | 3.767 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Depth-MARE | 0.108 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Depth-LRCE | 0.397 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Disp-MAE | 0.158 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Disp-RMSE | 0.338 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Disp-MARE | 0.120 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | DFI-OmniStereo | https://arxiv.org/abs/2503.23502v1 | Disp-LRCE | 0.058 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Depth-MAE | 1.720 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Depth-RMSE | 4.297 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Depth-MARE | 0.130 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Depth-LRCE | 0.388 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Disp-MAE | 0.188 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Disp-RMSE | 0.404 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Disp-MARE | 0.146 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360-IGEV-Stereo | https://arxiv.org/abs/2411.18335v2 | Disp-LRCE | 0.054 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Depth-MAE | 1.860 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Depth-RMSE | 4.474 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Depth-MARE | 0.146 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Depth-LRCE | 1.203 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Disp-MAE | 0.225 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Disp-RMSE | 0.423 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | IGEV-Stereo | https://arxiv.org/abs/2303.06615v2 | Disp-MARE | 0.172 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Depth-MAE | 2.112 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Depth-RMSE | 5.077 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Depth-MARE | 0.152 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Depth-LRCE | 0.904 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Disp-MAE | 0.224 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Disp-RMSE | 0.419 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | 360SD-Net | https://arxiv.org/abs/1911.04460v2 | Disp-MARE | 0.191 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Depth-MAE | 2.509 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Depth-RMSE | 5.673 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Depth-MARE | 0.176 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Depth-LRCE | 1.809 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Disp-MAE | 0.286 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Disp-RMSE | 0.496 |
Depth Estimation > Stereo Depth Estimation > Omnnidirectional Stereo Depth Estimation | Helvipad | PSMNet | http://arxiv.org/abs/1803.08669v1 | Disp-MARE | 0.248 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | MLFP | MCCNN (BCE+OCCL)-GMM | https://arxiv.org/abs/2007.11457v1 | HTER | 3.4 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CASIA-MFSD | 3D Synthesis (balancing sampling) | https://arxiv.org/abs/1901.00488v3 | EER | 2.22 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CASIA-MFSD | 3D Synthesis (balancing sampling) | https://arxiv.org/abs/1901.00488v3 | HTER | 1.67 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CASIA-MFSD | Multi-Scale | https://arxiv.org/abs/1408.5601v2 | EER | 4.92 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW-Enroll5 | ResNet18 Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 99.2 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW-Enroll5 | FeatherNet Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 99.0 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW-Enroll5 | FeatherNet | http://arxiv.org/abs/1904.09290v1 | AUC | 98.9 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW-Enroll5 | VGG16 Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 98.1 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW-Enroll5 | VGG16 | http://arxiv.org/abs/1409.1556v6 | AUC | 97.8 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | OULU-NPU | Bi-FPNFAS | https://www.mdpi.com/1424-8220/21/8/2799/htm | ACER | 2.92 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | OULU-NPU | Entry-V2 | https://arxiv.org/abs/2206.06510v1 | ACER | 3.2 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | OULU-NPU | Entry-V2 | https://arxiv.org/abs/2206.06510v1 | HTER | 2.6 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | OULU-NPU | A-DeepPixBis | https://ieeexplore.ieee.org/abstract/document/9363382 | ACER | 5.22 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | OULU-NPU | CDCN | https://arxiv.org/abs/2003.04092v1 | ACER | 6.9 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CelebA-Spoof-Enroll5 | ResNet 18 Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 99.2 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CelebA-Spoof-Enroll5 | VGG16 Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 98.6 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CelebA-Spoof-Enroll5 | VGG16 | http://arxiv.org/abs/1409.1556v6 | AUC | 98.0 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CelebA-Spoof-Enroll5 | FeatherNet Personalized | https://openaccess.thecvf.com/content/WACV2022W/MAP-A/html/Belli_A_Personalized_Benchmark_for_Face_Anti-Spoofing_WACVW_2022_paper.html | AUC | 97.8 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | CelebA-Spoof-Enroll5 | FeatherNet | http://arxiv.org/abs/1904.09290v1 | AUC | 97.1 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | FasTCo + OAP | https://arxiv.org/abs/2207.12272v1 | ACER | 21.7 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | ResNet50 + OAP | https://arxiv.org/abs/2207.12272v1 | ACER | 22.9 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | FeatherNet + OAP | https://arxiv.org/abs/2207.12272v1 | ACER | 24.3 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | FasTCo | https://arxiv.org/abs/2006.06756v1 | ACER | 28.7 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | CDCN++ + OAP | https://arxiv.org/abs/2207.12272v1 | ACER | 28.7 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | FeatherNet | http://arxiv.org/abs/1904.09290v1 | ACER | 31.1 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | SiW (Protocol 3) | CDCN++ | https://arxiv.org/abs/2003.04092v1 | ACER | 40.2 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | Replay-Attack | Entry-V2 | https://arxiv.org/abs/2206.06510v1 | EER | 0 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | Replay-Attack | Entry-V2 | https://arxiv.org/abs/2206.06510v1 | HTER | 0 |
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing | Replay-Attack | 3D Synthesis (balancing sampling) | https://arxiv.org/abs/1901.00488v3 | EER | 0.25 |
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