Semantic Segmentation on MUAD (test)
61.96mIoUABNN
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ABNNArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 61.96 | 24.37 | 91.55 | 21.68 | 5.58 | |
| Deep EnsemblesArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 58.29 | 28.02 | 87.1 | 37.6 | 5.88 | |
| Single ModelArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 57.32 | 26.04 | 86.24 | 39.43 | 6.07 | |
| BatchEnsembleArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 57.1 | 25.7 | 86.9 | 38.81 | 6.01 | |
| MIMOArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 57.1 | 24.18 | 86.62 | 34.8 | 5.81 | |
| MC-DropoutArchitecture=DeepLabv3+, Backbone=ResNet-50, Number of Seeds=32023.12 | 55.62 | 22.25 | 84.39 | 45.75 | 6.45 |