Birds Eye View Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

22 leaderboard tables shown for this task, 22 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. 10 shown of 22 until expanded.

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

2 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.

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (8 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.

• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
  17 Nov 2017 44 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
• PointPillars: Fast Encoders for Object Detection from Point Clouds
  14 Dec 2018 18 repositories listed Syntology ran 2 of 15 samples · 13 unverified · 1 pointer-only (licence)
  These benchmarks suggest that PointPillars is an appropriate encoding for object detection in point clouds.
• Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems
  12 Jun 2021 3 repositories listed
  Bird's Eye View (BEV) is a popular representation for processing 3D point clouds, and by its nature is fundamentally sparse.
• Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
  11 Oct 2021 2 repositories listed
  We train our network on the KITTI dataset and perform experiments to show the effectiveness of our network.
• PIXOR: Real-time 3D Object Detection from Point Clouds
  17 Feb 2019 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Existing approaches are, however, expensive in computation due to high dimensionality of point clouds.
• Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
  31 Dec 2021 1 repository listed
  Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications.
• SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
  20 Apr 2021 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Lastly, to better exploit hard targets, we design an ODIoU loss to supervise the student with constraints on the predicted box centers and orientations.
• CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
  5 Dec 2020 1 repository listed
  Existing single-stage detectors for locating objects in point clouds often treat object localization and category classification as separate tasks, so the localization accuracy and classification confidence may not well…

Syntology lines on 4 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.