Robust Camera Only 3D Object Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (12 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.

• BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
  31 Mar 2022 3 repositories listed
  In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries.
• SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking
  29 Jun 2022 2 repositories listed
  Our novel sparse feature sampling module only utilizes local 2D region of interest (RoI) features calculated by the projection of 3D query boxes for further box refinement, leading to a fully-convolutional and…
• BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
  21 Jun 2022 2 repositories listed
  In this research, we propose a new 3D object detector with a trustworthy depth estimation, dubbed BEVDepth, for camera-based Bird's-Eye-View (BEV) 3D object detection.
• BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
  22 Dec 2021 2 repositories listed
  As a fast version, BEVDet-Tiny scores 31.
• RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions
  13 Apr 2023 1 repository listed
  Our experiments further demonstrate that pre-training and depth-free BEV transformation has the potential to enhance out-of-distribution robustness.
• Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
  19 Nov 2022 1 repository listed
  Bird-eye-view (BEV) based methods have made great progress recently in multi-view 3D detection task.
• Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
  5 Oct 2022 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  While recent camera-only 3D detection methods leverage multiple timesteps, the limited history they use significantly hampers the extent to which temporal fusion can improve object perception.
• PolarFormer: Multi-camera 3D Object Detection with Polar Transformer
  30 Jun 2022 1 repository listed Syntology ran 3 of 9 samples · 6 unverified
  3D object detection in autonomous driving aims to reason "what" and "where" the objects of interest present in a 3D world.
• BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
  19 May 2022 1 repository listed
  Specifically, BEVerse first performs shared feature extraction and lifting to generate 4D BEV representations from multi-timestamp and multi-view images.
• PETR: Position Embedding Transformation for Multi-View 3D Object Detection
  10 Mar 2022 1 repository listed
  Object query can perceive the 3D position-aware features and perform end-to-end object detection.
• DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
  13 Oct 2021 1 repository listed
  This top-down approach outperforms its bottom-up counterpart in which object bounding box prediction follows per-pixel depth estimation, since it does not suffer from the compounding error introduced by a depth…

Syntology lines on 2 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.