Classification on Handwritten
97.75AccuracyMVer-C
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MVer-CEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 97.75 | 97.9 | 97.75 | |
| DCPEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 97.25 | 97.3 | 97.24 | |
| MVer-REvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 97 | 97.08 | 97 | |
| MFLVCEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 94 | 94.2 | 94.01 | |
| DCCAEEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 90 | 90.48 | 89.92 | |
| DCCAEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 88.25 | 89.2 | 88.05 | |
| MIBEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 79 | 83.9 | 78.52 |