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KITTI-360

Benchmarks

Task NameDataset NameSOTA ResultTrend
Semantic SegmentationKITTI-360 (val)
mIoU66.1
36
Pose estimationKITTI-360
RPE Translation (cm)2.003
29
Semantic SegmentationKITTI-360 (test)
mIoU69.71
25
Point Cloud CompletionKITTI-360
IoU44.11
15
3D Semantic Occupancy PredictionKITTI-360 (val)
IoU58.9
11
3D Object DetectionKITTI-360 (val)
AP3D @ IoU=0.5, Class=Large26.77
11
Novel View SynthesisKITTI-360 (val)
PSNR23.26
10
Object ReconstructionKITTI-360 4-50m (long range evaluation)
Object Accuracy86
10
Object ReconstructionKITTI-360 4-20m (short range evaluation)
Oacc92
10
Driving Scene ReconstructionKITTI-360
PSNR25.62
10
3D Object DetectionKITTI-360 (test)
AP3D @ 50 IoU4.64
10
Monocular Depth EstimationKITTI-360 (test)
RMSE2.04
9
Novel View SynthesisKITTI-360 static (val)
PSNR23.36
9
LiDAR Novel View Synthesis (Intensity)KITTI-360 low-frequency setting (test)
RMSE0.1089
8
LiDAR Novel View Synthesis (Depth)KITTI-360 low-frequency setting (test)
RMSE2.9514
8
Lidar-Camera Extrinsic CalibrationKITTI-360 SFL + SFR
Angular Error (deg)0.709
8
Unconditional LiDAR GenerationKITTI-360 19
FRD138.62
8
Novel LiDAR View SynthesisKITTI-360
Point Cloud CD0.1089
8
Mono-view synthesisKITTI-360
PSNR25.62
8
Semantic SegmentationKITTI-360 RGB-L (test)
mIoU66.1
8
LiDAR Depth SynthesisKITTI-360 standard-frequency setting
RMSE1.8519
7
Point Cloud ReconstructionKITTI-360 (standard-frequency setting)
CD0.0867
7
Monocular 3D Object DetectionKITTI-360 (test)
AP BEV @ IoU 0.3 (Easy)69.7
7
BEV SegmentationKITTI-360 (val)
BEV Seg IoU Large100
7
Amodal Panoptic SegmentationKITTI-360 APS (val)
APQ42.9
7
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