CLOUDSPAM

Reported on 6 benchmarks across 4 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Semantic SegmentationonToronto-3D L002
mIoU· uses extra data
71.8
best: 81.13 (EyeNet)
Semantic SegmentationonKITTI-360
miou Val· uses extra data
63.6
best: 64.1 (DA-supervised)

Computer Vision2 results

3D Semantic SegmentationonKITTI-360
miou Val· uses extra data
63.6
best: 64.1 (DA-supervised)
LIDAR Semantic SegmentationonParis-Lille-3D
mIOU· uses extra data
0.738
best: 0.827 (FKAConv)

Audio2 results

10-shot image generationonToronto-3D L002
mIoU· uses extra data
71.8
best: 81.13 (EyeNet)
10-shot image generationonKITTI-360
miou Val· uses extra data
63.6
best: 64.1 (DA-supervised)