Satellite Image Classification On Sat 4
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| DeepSat V2 | 99.90 | DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification | - |
| Contrastive loss | 98.74 | Discriminative Learning of Deep Convolutional Feature Point Descriptors | |
| DBN | 81.78 | DeepSat - A Learning framework for Satellite Imagery | - |
| DeepSat | 97.95 | DeepSat - A Learning framework for Satellite Imagery | - |
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