Papers › BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic...

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo

21 Sep 2022arXiv:2209.10248archive 2025-07-28

Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li

Bounded by the inherent ambiguity of depth perception, contemporary camera-based 3D object detection methods fall into the performance bottleneck. Intuitively, leveraging temporal multi-view stereo (MVS) technology is the natural knowledge for tackling this ambiguity. However, traditional attempts of MVS are flawed in two aspects when applying to 3D object detection scenes: 1) The affinity measurement among all views suffers expensive computation cost; 2) It is difficult to deal with outdoor scenarios where objects are often mobile. To this end, we introduce an effective temporal stereo method to dynamically select the scale of matching candidates, enable to significantly reduce computation overhead. Going one step further, we design an iterative algorithm to update more valuable candidates, making it adaptive to moving candidates. We instantiate our proposed method to multi-view 3D detector, namely BEVStereo. BEVStereo achieves the new state-of-the-art performance (i.e., 52.5% mAP and 61.0% NDS) on the camera-only track of nuScenes dataset. Meanwhile, extensive experiments reflect our method can deal with complex outdoor scenarios better than contemporary MVS approaches. Codes have been released at https://github.com/Megvii-BaseDetection/BEVStereo.

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megvii-basedetection/bevstereo officialmentioned in papermentioned on GitHubpytorch report
ZRandomize/MatrixVT mentioned on GitHubpytorchMIT report
megvii-basedetection/bevdepth mentioned on GitHubpytorchMIT report

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generate_info megvii-basedetection/bevstereo/scripts/gen_info.py official repository unverified MIT (permissive) · b0e6694828dcda80 · report
bev_transform ZRandomize/MatrixVT/bevdepth/datasets/nusc_det_dataset.py community (archive-listed) unverified MIT (permissive) · 75bd9e91eab5963b · report
get_rot ZRandomize/MatrixVT/bevdepth/datasets/nusc_det_dataset.py community (archive-listed) unverified MIT (permissive) · 2dd096050170984b · report
img_transform ZRandomize/MatrixVT/bevdepth/datasets/nusc_det_dataset.py community (archive-listed) unverified MIT (permissive) · 42061d7d8a0c3f80 · report
is_parallel ZRandomize/MatrixVT/bevdepth/callbacks/ema.py community (archive-listed) unverified MIT (permissive) · bbbb5d6a28074b9d · report

Tasks

3D Object DetectionDepth EstimationObject Detectionobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Object Detection nuScenes Camera Only BEVStereo Future Frame false #12 of 19 Archive leaderboard report
3D Object Detection nuScenes Camera Only BEVStereo NDS 61.0 #12 of 19 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.

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