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RESULT.md

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Experimental Result

Track 1: Uniform Split

This track is analogous to the semi-supervised image segmentation community, which sample LiDAR scans with a uniform probability.

Range View

Method nuScenes SemanticKITTI ScribbleKITTI
1% 10% 20% 50% Full 1% 10% 20% 50% Full 1% 10% 20% 50% Full
RangeNet++
w/ LaserMix
improv. + + + + + + + + + + + + + + +
Download [link] [link] [link] [link] [link] [link]
SalsaNext
w/ LaserMix
improv. + + + + + + + + + + + + + + +
Download [link] [link] [link] [link] [link] [link]
FIDNet 38.3 57.5 62.7 67.6 72.1 36.2 52.2 55.9 57.2 61.4 33.1 47.7 49.9 52.5
w/ LaserMix 49.5 68.2 70.6 73.0 43.4 58.8 59.4 61.4 38.3 54.4 55.6 58.7
improv. +11.2 +10.7 +7.9 +5.4 + +7.2 +6.6 +3.5 +4.2 + +5.2 +6.7 +5.7 +6.2 +
Download [link] [link] [link] [link] [link] [link]
CENet 40.4 58.7 71.7 40.4 56.0 58.2 60.1 62.9
w/ LaserMix
improv. + + + + + + + + + + + + + + +
Download [link] [link] [link] [link] [link] [link]

Voxel

Method nuScenes SemanticKITTI ScribbleKITTI
1% 10% 20% 50% Full 1% 10% 20% 50% Full 1% 10% 20% 50% Full
MinkUNet 69.4 72.8 62.8
w/ LaserMix
improv. + + + + + + + + + + + + + + +
Download [link] [link] [link] [link] [link] [link]
SPVCNN 53.7 69.7 71.6 72.0 73.2 42.7 57.5 60.2 62.7 63.2 38.2 53.8 56.7
w/ LaserMix 65.8
improv. + + + + + + + + + +2.6 + + + + +
Download [link] [link] [link] [link] [link] [link]
Cylinder3D
w/ LaserMix
improv. + + + + + + + + + + + + + + +
Download [link] [link] [link] [link] [link] [link]

Track 2: Sequential Split

This track takes into account the LiDAR data collection nature when sampling LiDAR scans.

Range View

Available soon.

Voxel

Available soon.