Scene Classification On Uc Merced Land Use
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy (%) |
|---|---|
| local-semantic-enhanced-convnet-for-aerial | 99.78 |
| a-multiple-instance-densely-connected-convnet | 97.40 |
| msmatch-semi-supervised-multispectral-scene | 98.33 |
| all-grains-one-scheme-agos-learning-multi | 99.88 |
| in-domain-representation-learning-for-remote-1 | 99.61 |
| a-continual-development-methodology-for-large | 100 |