mlsanityData to 7 Oct 2026

Stereo Neural Vernier Caliper

arXiv 2203.11018 ↗First posted 21 Mar 2022cs.CV cs.ROcited by 3

Not on the map. Why?

Abstract (arXiv)

We propose a new object-centric framework for learning-based stereo 3D object detection. Previous studies build scene-centric representations that do not consider the significant variation among outdoor instances and thus lack the flexibility and functionalities that an instance-level model can offer. We build such an instance-level model by formulating and tackling a local update problem, i.e., how to predict a refined update given an initial 3D cuboid guess. We demonstrate how solving this problem can complement scene-centric approaches in (i) building a coarse-to-fine multi-resolution system, (ii) performing model-agnostic object location refinement, and (iii) conducting stereo 3D tracking-by-detection. Extensive experiments demonstrate the effectiveness of our approach, which achieves state-of-the-art performance on the KITTI benchmark. Code and pre-trained models are available at https://github.com/Nicholasli1995/SNVC.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 36 of its 52 references that are in the map. First posted on arXiv 21 Mar 2022.

Builds on

36 of 52 references.

References · 36

  1. 2018PointPillars: Fast Encoders for Object Detection from Point Cloudscited by 1,707
  2. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  3. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  4. 2017VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detectioncited by 1,323
  5. 2018PointRCNN: 3D Object Proposal Generation and Detection from Point Cloudcited by 939
  6. 2016Multi-View 3D Object Detection Network for Autonomous Drivingcited by 721
  7. 2017Frustum PointNets for 3D Object Detection from RGB-D Datacited by 640
  8. 20163D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstructioncited by 587
  9. 2018Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Drivingcited by 455
  10. 2016OctNet: Learning Deep 3D Representations at High Resolutionscited by 340
  11. 2021Categorical Depth Distribution Network for Monocular 3D Object Detectioncited by 326
  12. 2019M3D-RPN: Monocular 3D Region Proposal Network for Object Detectioncited by 251
24 more
  1. 2019HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimationcited by 247
  2. 2015Unifying distillation and privileged informationcited by 218
  3. 2020Multi-Task Multi-Sensor Fusion for 3D Object Detectioncited by 203
  4. 2018Orthographic Feature Transform for Monocular 3D Object Detectioncited by 201
  5. 2019Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Drivingcited by 188
  6. 2019Stereo R-CNN based 3D Object Detection for Autonomous Drivingcited by 163
  7. 2021Geometry Uncertainty Projection Network for Monocular 3D Object Detectioncited by 155
  8. 2021LiDAR R-CNN: An Efficient and Universal 3D Object Detectorcited by 129
  9. 2019Monocular 3D Object Detection with Pseudo-LiDAR Point Cloudcited by 113
  10. 2020DSGN: Deep Stereo Geometry Network for 3D Object Detectioncited by 100
  11. 2021Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detectioncited by 84
  12. 2020Cascaded deep monocular 3D human pose estimation with evolutionary training datacited by 80
  13. 2021LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detectorcited by 69
  14. 2019Deep Fitting Degree Scoring Network for Monocular 3D Object Detectioncited by 67
  15. 2018PoseFix: Model-agnostic General Human Pose Refinement Networkcited by 47
  16. 2020Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimationcited by 43
  17. 2019Triangulation Learning Network: from Monocular to Stereo 3D Object Detectioncited by 40
  18. 2020Wasserstein Distances for Stereo Disparity Estimationcited by 38
  19. 2020GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervisioncited by 28
  20. 2020ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detectioncited by 25
  21. 2021PLUMENet: Efficient 3D Object Detection from Stereo Imagescited by 19
  22. 2020Reinforced Axial Refinement Network for Monocular 3D Object Detectioncited by 18
  23. 2020RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Drivingcited by 16
  24. 2020Exploring intermediate representation for monocular vehicle pose estimationcited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.

3 papers.

  1. 2023StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detectioncited by 7
  2. 2026VG3S: Visual Geometry Grounded Gaussian Splatting for Semantic Occupancy Predictioncited by 4
  3. 2024LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representationcited by 2