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3D Object Detection From Monocular Images 벤치마크

3D Object Detection From Monocular Images on KITTI-360

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AP50

0.17 1.287 2.405 3.522 4.64 2019-04 2026-09 BoxNet — 4.08 (2019-04-21) VoteNet — 3.4 (2019-04-21) BoxNet — 4.08 (2019-04-21) VoteNet — 3.4 (2019-04-21) BoxNet — 4.08 (2019-04-21) VoteNet — 3.4 (2019-04-21) BoxNet — 4.08 (2019-04-21) VoteNet — 3.4 (2019-04-21) BoxNet — 4.08 (2019-04-21) VoteNet — 3.4 (2019-04-21) MonoDLE — 0.85 (2021-03-30) MonoDLE — 0.85 (2021-03-30) MonoDLE — 0.85 (2021-03-30) MonoDLE — 0.85 (2021-03-30) MonoDLE — 0.85 (2021-03-30) GrooMeD-NMS — 0.17 (2021-03-31) GrooMeD-NMS — 0.17 (2021-03-31) GrooMeD-NMS — 0.17 (2021-03-31) GrooMeD-NMS — 0.17 (2021-03-31) GrooMeD-NMS — 0.17 (2021-03-31) GUPNet — 0.87 (2021-07-29) GUPNet — 0.87 (2021-07-29) GUPNet — 0.87 (2021-07-29) GUPNet — 0.87 (2021-07-29) GUPNet — 0.87 (2021-07-29) MonoDTR — 3.02 (2022-03-21) MonoDTR — 3.02 (2022-03-21) MonoDTR — 3.02 (2022-03-21) MonoDTR — 3.02 (2022-03-21) MonoDTR — 3.02 (2022-03-21) MonoDETR — 0.79 (2022-03-24) MonoDETR — 0.79 (2022-03-24) MonoDETR — 0.79 (2022-03-24) MonoDETR — 0.79 (2022-03-24) MonoDETR — 0.79 (2022-03-24) DEVIANT — 0.88 (2022-07-21) Cube R-CNN — 0.8 (2022-07-21) DEVIANT — 0.88 (2022-07-21) Cube R-CNN — 0.8 (2022-07-21) DEVIANT — 0.88 (2022-07-21) Cube R-CNN — 0.8 (2022-07-21) DEVIANT — 0.88 (2022-07-21) Cube R-CNN — 0.8 (2022-07-21) DEVIANT — 0.88 (2022-07-21) Cube R-CNN — 0.8 (2022-07-21) SeaBird + PanopticBEV — 4.64 (2024-03-29) SeaBird + Image2Maps — 3.14 (2024-03-29) SeaBird + PanopticBEV — 4.64 (2024-03-29) SeaBird + Image2Maps — 3.14 (2024-03-29) SeaBird + PanopticBEV — 4.64 (2024-03-29) SeaBird + Image2Maps — 3.14 (2024-03-29) SeaBird + PanopticBEV — 4.64 (2024-03-29) SeaBird + Image2Maps — 3.14 (2024-03-29) SeaBird + PanopticBEV — 4.64 (2024-03-29) SeaBird + Image2Maps — 3.14 (2024-03-29) BoxNet — 4.08 (2019-04-21) SeaBird + PanopticBEV — 4.64 (2024-03-29)
RankModel AP50AP25 PaperCodeYear
1 SeaBird + PanopticBEV 4.6437.12 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects abhi1kumar/seabird 2024
2 BoxNet 4.0823.59 Deep Hough Voting for 3D Object Detection in Point Clouds open-mmlab/mmdetection3d · facebookresearch/votenet · zaiweizhang/H3DNet · +10 2019
3 VoteNet 3.4030.61 Deep Hough Voting for 3D Object Detection in Point Clouds open-mmlab/mmdetection3d · facebookresearch/votenet · zaiweizhang/H3DNet · +10 2019
4 SeaBird + Image2Maps 3.1435.04 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects abhi1kumar/seabird 2024
5 MonoDTR 3.0239.76 MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer kuanchihhuang/monodtr 2022
6 DEVIANT 0.8826.96 DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection abhi1kumar/deviant · abhi1kumar/seabird 2022
7 GUPNet 0.8727.25 Geometry Uncertainty Projection Network for Monocular 3D Object Detection supermhp/gupnet 2021
8 MonoDLE 0.8528.99 Delving into Localization Errors for Monocular 3D Object Detection xinzhuma/monodle 2021
9 Cube R-CNN 0.8015.57 Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild facebookresearch/omni3d 2022
10 MonoDETR 0.7927.13 MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection zrrskywalker/monodetr 2022
11 GrooMeD-NMS 0.1716.12 GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection abhi1kumar/groomed_nms 2021
12 SeaBird + PanopticBEV 4.6437.12 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects abhi1kumar/seabird 2024
13 BoxNet 4.0823.59 Deep Hough Voting for 3D Object Detection in Point Clouds open-mmlab/mmdetection3d · facebookresearch/votenet · zaiweizhang/H3DNet · +10 2019
14 VoteNet 3.4030.61 Deep Hough Voting for 3D Object Detection in Point Clouds open-mmlab/mmdetection3d · facebookresearch/votenet · zaiweizhang/H3DNet · +10 2019
15 SeaBird + Image2Maps 3.1435.04 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects abhi1kumar/seabird 2024
16 MonoDTR 3.0239.76 MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer kuanchihhuang/monodtr 2022
17 DEVIANT 0.8826.96 DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection abhi1kumar/deviant · abhi1kumar/seabird 2022
18 GUPNet 0.8727.25 Geometry Uncertainty Projection Network for Monocular 3D Object Detection supermhp/gupnet 2021
19 MonoDLE 0.8528.99 Delving into Localization Errors for Monocular 3D Object Detection xinzhuma/monodle 2021
20 Cube R-CNN 0.8015.57 Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild facebookresearch/omni3d 2022
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