Browse State-of-the-Art › Monocular 3D Object Detection

Monocular 3D Object Detection

87 papers with code · 16 benchmarks · 7 datasets archive 2025-07-28

Computer Vision

Monocular 3D Object Detection is the task to draw 3D bounding box around objects in a single 2D RGB image. It is localization task but without any extra information like depth or other sensors or multiple-images.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

16 leaderboard tables shown for this task, 16 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 16 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
KITTI Cars Moderate (29 rows) CIE Consistency of Implicit and Explicit Features Matters for... — — Compare
KITTI Cars Hard (7 rows) CIE Consistency of Implicit and Explicit Features Matters for... — — Compare
SUN RGB-D (7 rows) IM3D Holistic 3D Scene Understanding from a Single Image with Implicit... code — Compare
KITTI Cars Easy (5 rows) CIE Consistency of Implicit and Explicit Features Matters for... — — Compare
KITTI Pedestrian Hard (4 rows) DD3D Is Pseudo-Lidar needed for Monocular 3D Object detection? code Syntology ran 0 of 3 samples · 3 unverified Compare
Google Objectron (3 rows) Lin2021 — — — Compare
KITTI Pedestrian Easy (3 rows) CMKD Cross-Modality Knowledge Distillation Network for Monocular 3D... code Syntology ran 1 of 2 samples · 1 unverified Compare
KITTI Pedestrian Moderate (3 rows) DD3D Is Pseudo-Lidar needed for Monocular 3D Object detection? code Syntology ran 0 of 3 samples · 3 unverified Compare
KITTI Cyclist Easy (2 rows) CMKD Cross-Modality Knowledge Distillation Network for Monocular 3D... code Syntology ran 1 of 2 samples · 1 unverified Compare
KITTI Cyclist Moderate (2 rows) CMKD Cross-Modality Knowledge Distillation Network for Monocular 3D... code Syntology ran 1 of 2 samples · 1 unverified Compare
KITTI Cyclist Hard (2 rows) CMKD Cross-Modality Knowledge Distillation Network for Monocular 3D... code Syntology ran 1 of 2 samples · 1 unverified Compare
CoPerception-UAVs (1 row) Where2comm Where2comm: Communication-Efficient Collaborative Perception via... code Syntology ran 4 of 6 samples · 2 unverified Compare
KITTI Pedestrians Moderate val (1 row) CubifAE-3D CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder... — — Compare
nuScenes (1 row) LabelDistill LabelDistill: Label-guided Cross-modal Knowledge Distillation for... code — Compare
OPV2V (1 row) Where2comm Where2comm: Communication-Efficient Collaborative Perception via... code Syntology ran 4 of 6 samples · 2 unverified Compare
Virtual KITTI 2 (1 row) CubifAE-3D CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder... — — Compare

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

7 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

30 shown of 87 papers with code (187 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.

Syntology lines on 17 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.

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