Classification on Caltech101 20
92.48AccuracyDCP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DCPEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 92.48 | 89.41 | 84.58 | |
| MVer-REvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 92.28 | 89.46 | 84.21 | |
| MVer-CEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 92.16 | 90.68 | 85.72 | |
| MFLVCEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 85.37 | 71.83 | 69.07 | |
| MIBEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 72.72 | 61.64 | 52.47 | |
| DCCAEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 71.54 | 45.27 | 39.81 | |
| DCCAEEvaluation Protocol=Linear SVM, Latent Dimension=256, Batch Size=2562023.03 | 71.54 | 60.57 | 43.25 |