Camera Model Identification on Evaluation set
93.61AccuracyProposed similarity network
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed similarity network2019.02 | 93.61 | |
| 2 NormLearning Phase=B2019.02 | 93.28 | |
| 1 NormLearning Phase=B2019.02 | 93.06 | |
| Contrastive Loss2019.02 | 92.99 | |
| CosineLearning Phase=B2019.02 | 92.87 | |
| SVMTraining Features=Learning Phase A2019.02 | 92.84 | |
| 2 NormLearning Phase=A2019.02 | 92.68 | |
| Bray-CurtisLearning Phase=B2019.02 | 92.57 | |
| ER TreesTraining Features=Learning Phase A2019.02 | 92.44 | |
| 1 NormLearning Phase=A2019.02 | 92.37 | |
| CosineLearning Phase=A2019.02 | 92.22 | |
| Bray-CurtisLearning Phase=A2019.02 | 91.98 | |
| Inf. NormLearning Phase=B2019.02 | 91.73 | |
| Inf. NormLearning Phase=A2019.02 | 90.98 | |
| MS'182019.02 | 85.7 |