3D Object Detection From Stereo Images

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Stereo R-CNN based 3D Object Detection for Autonomous Driving
  26 Feb 2019 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect and associate object in left and right images.
• YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
  17 Mar 2021 2 repositories listed
  Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs.
• Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
  18 Dec 2018 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  However, in this paper we argue that it is not the quality of the data but its representation that accounts for the majority of the difference.
• DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
  6 Apr 2022 1 repository listed
  First, to effectively lift the 2D information to stereo volume, we propose depth-wise plane sweeping (DPS) that allows denser connections and extracts depth-guided features.
• LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
  18 Aug 2021 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  Compared with the state-of-the-art stereo detector, our method has improved the 3D detection performance of cars, pedestrians, cyclists by 10.
• PLUMENet: Efficient 3D Object Detection from Stereo Images
  17 Jan 2021 1 repository listed
  In this paper we propose a model that unifies these two tasks and performs them in the same metric space.
• Wasserstein Distances for Stereo Disparity Estimation
  6 Jul 2020 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  Existing approaches to depth or disparity estimation output a distribution over a set of pre-defined discrete values.
• 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
  15 Jun 2020 1 repository listed
  In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF.
• Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
  7 Apr 2020 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images.
• DSGN: Deep Stereo Geometry Network for 3D Object Detection
  10 Jan 2020 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors because there is a large performance gap between image-based and LiDAR-based methods.
• Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
  14 Jun 2019 1 repository listed Syntology ran 2 of 14 samples · 12 unverified
  In this paper we provide substantial advances to the pseudo-LiDAR framework through improvements in stereo depth estimation.
• Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
  4 Jun 2019 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  In this paper, we study the problem of 3D object detection from stereo images, in which the key challenge is how to effectively utilize stereo information.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.