Satellite Image Classification On Sat 4
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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