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PandaSet

Benchmarks

Task NameDataset NameSOTA ResultTrend
3D Semantic SegmentationPandaSet nuScenes source 8 classes (val)
mIoU65.7
11
Urban Scene ReconstructionPandaSet Extrapolation Hard (test)
FID@4m102.73
8
Urban Scene ReconstructionPandaSet Extrapolation Moderate (test)
FID@1m59.44
8
Urban Scene ReconstructionPandaSet Interpolation (test)
PSNR24.93
8
LiDAR ReconstructionPandaSet
Median L2 Error0.002
8
Camera ReconstructionPandaSet
PSNR29.76
8
Novel View SynthesisPandaSet
PSNR27.12
8
View Reconstruction and InterpolationPandaset
PSNR28.28
8
Generative View SynthesisPandaset
FID (2m)57.1
8
3D Object DetectionPandaSet (val)
AP BEV80.3
8
3D reconstructionPandaSet
Accuracy1.238
7
Novel-view synthesisPandaSet 10 scenes
PSNR27
7
Scene ReconstructionPandaSet 10 scenes
PSNR29.05
7
Vehicle insertionPandaSet
FID0
6
Full Sequence InterpolationPandaSet Full Sequence
PSNR24.57
6
Short sequence interpolationPandaSet
PSNR25.22
6
Closed-loop Autonomous DrivingPandaset (test)
NC68.2
6
Surface ReconstructionPandaset static scenes
P->M Error (Seq 23)0.45
6
3D Object DetectionPandaSet
mAP36.6
6
View Extrapolation (Lane Shift)PandaSet (test)
FID @ 2m62.15
6
View InterpolationPandaSet (test)
PSNR27.54
6
Surround-view multi-camera monocular depth estimationPandaset
Abs Rel0.104
5
Sparse View SynthesisPandaSet Sparse View Split (10% frames for train)
PSNR21.34
5
Novel View SynthesisPandaSet Out-of-Domain (val)
PSNR26.27
5
View SynthesisPandaset Lane Shift
FID (2m)106.5
5
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