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3D Object Detection on View-of-Delft (VoD) In Driving Corridor (val)

90.62AP3D (Car)

R4Det

Updated 11d ago

Evaluation Results

Method
R4Det 2026.03	90.62	66.47	93.96	-	-	83.68
CVFusion 2026.03	89.86	68.79	88.62	-	-	82.42
SDCM 2026.01	89.07	67.04	89.24	-	-	81.78
Li et al. 2026.01	88.86	62.43	87.07	-	-	79.45
HGSFusion 2024.12	88.28	62.61	87.49	79.46	-	-
HSGFusion 2026.01	87.24	58.66	87.49	-	-	77.79
SGDet3D 2026.01	81.13	60.91	90.22	-	-	77.42
SGDet3D 2026.02	81.13	60.91	90.22	-	-	77.42
SGDet3D 2026.03	81.13	60.91	90.22	-	-	77.42
ZFusion 2026.01	80.44	52.68	90.01	-	-	74.38
IS-Fusion 2026.01	80.42	55.5	88.33	-	-	74.75
TL-4DRCF 2024.12	79.49	53.76	76.5	69.92	-	-
TL-4DRCF 2026.01	79.49	53.76	76.5	-	-	69.92
SFGFusion 2026.01	79.1	53.63	88.6	-	-	73.77
FUTR3D 2024.12	78.66	43.1	86.19	69.32	-	-
FUTR3D 2026.01	78.66	43.1	86.19	-	-	69.32
FUTR3D 2026.02	78.66	43.1	86.19	-	-	69.32
FUTR3D 2026.03	78.66	43.1	86.19	-	-	69.32
DSFusion 2026.01	78.21	61.22	87.73	-	-	75.72
DRIFT (attention) 2026.03	77	52.5	87.8	-	-	72.4
MAFF-Net 2026.01	72.78	57.81	87.4	-	-	72.5
MUFASA 2026.01	72.5	50.28	88.51	-	-	70.43
RCBEVDet 2024.12	72.48	49.89	87.01	69.8	-	-
RCBEVDet 2026.01	72.48	49.89	87.01	-	-	69.8
RCBEVDet 2026.02	72.48	49.89	87.01	-	-	69.8
RCBEVDet 2026.04	72.48	49.89	87.01	-	-	69.8
RCDFNet 2026.01	72.46	49.76	89.62	-	-	70.61
DRIFT (attention) 2026.03	72.4	52.9	89.3	-	-	71.5
Wang et al. 2026.01	72.35	54.1	88.78	-	-	71.74
MMF-BEV 2026.04	72.21	48.23	87.2	-	-	69.21
LXL 2024.12	72.18	58.3	88.31	72.93	-	-
LXL 2026.01	72.18	58.3	88.31	-	-	72.93
LXL 2026.02	72.18	58.3	88.31	-	-	72.93
LXL 2026.03	72.18	58.3	88.31	-	-	72.93
UniBEVFusion 2026.01	72.1	57.71	93.29	-	-	74.37
SD4R 2026.02	71.96	52.32	86.1	-	-	70.13
MUFASA 2026.03	71.9	47.4	89	-	-	69.4
RCFusion 2023.07	71.87	47.5	88.33	69.23	-	-
RCFusion 2024.12	71.87	47.5	88.33	69.23	-	-
Duan et al. 2026.01	71.87	49.45	86.43	-	-	69.25
RCFusion 2026.01	71.87	47.5	88.33	-	-	69.23
RCFusion 2026.02	71.87	47.5	88.33	-	-	69.23
RCFusion 2026.03	71.87	47.5	88.33	-	-	69.23
RCFusion 2026.04	71.87	47.5	88.33	-	-	69.23
SMURF 2023.07	71.74	50.54	86.87	69.72	72.05	-
SMURF 2026.01	71.74	50.54	86.87	-	-	69.72
SMURF 2026.02	71.74	50.54	86.87	-	-	69.72
SMURF 2026.03	71.74	50.54	86.87	-	-	69.72
SMURF 2026.03	71.7	50.5	86.9	-	-	69.7
RadarPillarNet 2024.12	71.65	42.8	83.14	65.86	-	-
RadarPillarNet 2026.01	71.65	42.8	83.14	-	-	65.86
RadarPillarNet 2026.02	71.65	42.8	83.14	-	-	65.86
RadarPillarNet 2026.03	71.65	42.8	83.14	-	-	65.86
CenterPoint 2026.03	71.3	47.3	83.7	-	-	67.4
RadarPillars 2026.03	71.1	52.3	87.9	-	-	70.5
PointAugmenting 2026.01	71.02	48.59	87.57	-	-	69.06
PointAugmenting 2026.02	71.02	48.59	87.57	-	-	69.06
MMF-BEV 2026.04	70.36	39.23	87.27	-	-	65.62
CenterPoint 2026.03	70.3	45.7	83.1	-	-	66.4
LXL-R 2026.02	70.26	47.34	87.93	-	-	68.51
BEVFusion 2024.12	70.21	45.86	89.48	68.52	-	-
BEVFusion 2026.01	70.21	45.86	89.48	-	-	68.52
BEVFusion 2026.02	70.21	45.86	89.48	-	-	68.52
BEVFusion 2026.03	70.21	45.86	89.48	-	-	68.52
PointPillars 2026.03	70.2	47.2	85.1	-	-	67.5
PointPillars 2024.12	70.15	47.22	85.07	67.48	-	-
PointPillars 2026.01	70.15	47.22	85.07	-	-	67.48
PointPillars 2026.02	70.15	47.22	85.07	-	-	67.48
PointPillars 2026.03	70.15	47.22	85.07	-	-	67.48
PointPillars 2026.04	70.15	47.22	85.07	-	-	67.48
MVFAN (single scan) 2026.03	69.8	38.7	84.9	-	-	64.4
Ruddat et al. 2026.01	69.1	47.2	84.3	-	-	66.9
MMF-BEV 2026.04	67.21	44.48	78.65	-	-	63.44
PillarNeXt 2026.02	66.72	39.03	85.08	-	-	63.61
PillarNeXt 2026.03	66.7	39	85.1	-	-	63.6
CenterPoint 2026.01	62.01	48.18	84.98	-	-	65.06
CenterPoint 2026.02	62.01	48.18	84.98	-	-	65.06
CenterPoint 2026.03	62.01	48.18	84.98	-	-	65.06
CenterPoint 2026.03	62	48.2	85.5	-	-	65.1
MMF-BEV 2026.04	55.01	15.78	43.67	-	-	38.15
ImVoxelNet 2026.02	49.52	9.68	28.97	-	-	29.39
SGDet3D 2026.01	-	-	-	-	-	77.42
HGSFusion 2026.01	-	-	-	-	-	77.79
IS-Fusion 2026.01	-	-	-	-	-	74.75
SFGFusion 2026.01	-	-	-	-	-	73.77
RCDFNet 2026.01	-	-	-	-	-	70.61
ZFusion 2026.01	-	-	-	-	-	74.38
SDCM 2026.01	-	-	-	-	-	81.78