Papers › Pyramid Stereo Matching Network

Pyramid Stereo Matching Network

23 Mar 2018CVPR 2018 6arXiv:1803.08669archive 2025-07-28

Jia-Ren Chang, Yong-Sheng Chen

Recent work has shown that depth estimation from a stereo pair of images can be formulated as a supervised learning task to be resolved with convolutional neural networks (CNNs). However, current architectures rely on patch-based Siamese networks, lacking the means to exploit context information for finding correspondence in illposed regions. To tackle this problem, we propose PSMNet, a pyramid stereo matching network consisting of two main modules: spatial pyramid pooling and 3D CNN. The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume. The 3D CNN learns to regularize cost volume using stacked multiple hourglass networks in conjunction with intermediate supervision. The proposed approach was evaluated on several benchmark datasets. Our method ranked first in the KITTI 2012 and 2015 leaderboards before March 18, 2018. The codes of PSMNet are available at: https://github.com/JiaRenChang/PSMNet.

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Code

Syntology Ran 3 of 11 code samples harvested from 1 repository linked to this paper; 8 have no recorded run. Of those that ran: 1 ran · violated contract; 1 ran · our draft was wrong; 1 ran with no contract checked.

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JiaRenChang/PSMNet officialmentioned in papermentioned on GitHubpytorchMIT report
ChelseaGH/sidewalk_prototype_AI_Hub mentioned on GitHubpytorch report
HKBU-HPML/FADNet mentioned on GitHubpytorch report
loevlie/DL_Project_PSMNet mentioned on GitHub report
qrzyang/pseudo-stereo mentioned on GitHubpytorchApache-2.0 report

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1ran · violated contract
1ran · our draft was wrong
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convbn JiaRenChang/PSMNet/models/submodule.py official repository ran · our draft was wrong MIT (permissive) · 15ab3c76823aef7e · report
convbn_3d JiaRenChang/PSMNet/models/submodule.py official repository ran MIT (permissive) · 46674adf87c5459d · report
is_image_file JiaRenChang/PSMNet/dataloader/KITTILoader.py official repository ran · violated contract MIT (permissive) · ab4109634b75ef8b · report
dataloader JiaRenChang/PSMNet/dataloader/KITTI_submission_loader.py official repository unverified MIT (permissive) · 70963b30440822d8 · report
dataloader JiaRenChang/PSMNet/dataloader/KITTI_submission_loader2012.py official repository unverified MIT (permissive) · 9a9e2227f81699e9 · report
dataloader JiaRenChang/PSMNet/dataloader/KITTIloader2012.py official repository unverified MIT (permissive) · facba429ec9a5e75 · report
dataloader JiaRenChang/PSMNet/dataloader/KITTIloader2015.py official repository unverified MIT (permissive) · 71cbc3b4bc1e8f34 · report
dataloader JiaRenChang/PSMNet/dataloader/listflowfile.py official repository unverified MIT (permissive) · 722050d7e9df5e9c · report
default_loader JiaRenChang/PSMNet/dataloader/KITTILoader.py official repository unverified MIT (permissive) · 0b3ce8456d675a8c · report
disparity_loader JiaRenChang/PSMNet/dataloader/SecenFlowLoader.py official repository unverified MIT (permissive) · aaf877e27c4a3c3e · report
disparity_loader JiaRenChang/PSMNet/dataloader/KITTILoader.py official repository unverified MIT (permissive) · c0ce2ceaa41309b3 · report

Tasks

Depth EstimationOmnnidirectional Stereo Depth EstimationStereo Depth EstimationStereo MatchingStereo Matching HandStereo-LiDAR Fusion

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Depth-LRCE 1.809 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Depth-MAE 2.509 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Depth-MARE 0.176 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Depth-RMSE 5.673 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Disp-MAE 0.286 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Disp-MARE 0.248 #5 of 5 Archive leaderboard report
Omnnidirectional Stereo Depth Estimation Helvipad PSMNet Disp-RMSE 0.496 #5 of 5 Archive leaderboard report
Stereo-LiDAR Fusion KITTI Depth Completion Validation PSMNet RMSE 884 #7 of 9 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Average PoolingBatch NormalizationConvolutionPyramid Pooling ModuleReLUSpatial Pyramid Pooling

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