UPerNet (SAP)

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Medical2 results

Semantic SegmentationonISPRS Vaihingen
Category mIoU· 2024-09-25
73.27
best: 85.1 (LSKNet-S)
Stochastic Subsampling With Average Pooling arXiv:2409.16630
Semantic SegmentationonISPRS Vaihingen
Overall Accuracy· 2024-09-25
90.14
best: 93.6 (LSKNet-S)
Stochastic Subsampling With Average Pooling arXiv:2409.16630

Audio2 results

10-shot image generationonISPRS Vaihingen
Category mIoU· 2024-09-25
73.27
best: 85.1 (LSKNet-S)
Stochastic Subsampling With Average Pooling arXiv:2409.16630
10-shot image generationonISPRS Vaihingen
Overall Accuracy· 2024-09-25
90.14
best: 93.6 (LSKNet-S)
Stochastic Subsampling With Average Pooling arXiv:2409.16630