IM++ (416x208, 2.7m parameters, no pretraining)

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Medical1 result

Semantic SegmentationonCityscapes 10% labeled
Mean IoU (class)· 2024-01-25
0.428
SOTA
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs arXiv:2401.14387

Audio1 result

10-shot image generationonCityscapes 10% labeled
Mean IoU (class)· 2024-01-25
0.428
SOTA
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs arXiv:2401.14387