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3D Object Detection From Monocular Images
벤치마크
3D Object Detection From Monocular Images on
KITTI-360
55개 결과 ·
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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)
2019-04-21 — BoxNet: AP50 4.08
2024-03-29 — SeaBird + PanopticBEV: AP50 4.64
Rank
Model
AP50
AP25
Paper
Code
Year
1
SeaBird + PanopticBEV
4.64
37.12
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
abhi1kumar/seabird
2024
2
BoxNet
4.08
23.59
Deep Hough Voting for 3D Object Detection in Point Clouds
open-mmlab/mmdetection3d
·
facebookresearch/votenet
·
zaiweizhang/H3DNet
·
+10
2019
3
VoteNet
3.40
30.61
Deep Hough Voting for 3D Object Detection in Point Clouds
open-mmlab/mmdetection3d
·
facebookresearch/votenet
·
zaiweizhang/H3DNet
·
+10
2019
4
SeaBird + Image2Maps
3.14
35.04
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
abhi1kumar/seabird
2024
5
MonoDTR
3.02
39.76
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
kuanchihhuang/monodtr
2022
6
DEVIANT
0.88
26.96
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
abhi1kumar/deviant
·
abhi1kumar/seabird
2022
7
GUPNet
0.87
27.25
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
supermhp/gupnet
2021
8
MonoDLE
0.85
28.99
Delving into Localization Errors for Monocular 3D Object Detection
xinzhuma/monodle
2021
9
Cube R-CNN
0.80
15.57
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
facebookresearch/omni3d
2022
10
MonoDETR
0.79
27.13
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
zrrskywalker/monodetr
2022
11
GrooMeD-NMS
0.17
16.12
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
abhi1kumar/groomed_nms
2021
12
SeaBird + PanopticBEV
4.64
37.12
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
abhi1kumar/seabird
2024
13
BoxNet
4.08
23.59
Deep Hough Voting for 3D Object Detection in Point Clouds
open-mmlab/mmdetection3d
·
facebookresearch/votenet
·
zaiweizhang/H3DNet
·
+10
2019
14
VoteNet
3.40
30.61
Deep Hough Voting for 3D Object Detection in Point Clouds
open-mmlab/mmdetection3d
·
facebookresearch/votenet
·
zaiweizhang/H3DNet
·
+10
2019
15
SeaBird + Image2Maps
3.14
35.04
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
abhi1kumar/seabird
2024
16
MonoDTR
3.02
39.76
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
kuanchihhuang/monodtr
2022
17
DEVIANT
0.88
26.96
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
abhi1kumar/deviant
·
abhi1kumar/seabird
2022
18
GUPNet
0.87
27.25
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
supermhp/gupnet
2021
19
MonoDLE
0.85
28.99
Delving into Localization Errors for Monocular 3D Object Detection
xinzhuma/monodle
2021
20
Cube R-CNN
0.80
15.57
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
facebookresearch/omni3d
2022
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