Handwriting Recognition on LipiTk Handwriting Devanagari script (test)
88.6AccuracyCROSSGRAD
Evaluation results
| Method | Links | |
|---|---|---|
| CROSSGRADBackbone=Modified LeNet [LeCun et al., 1998]2018.04 | 88.6 | |
| CSDNumber of training domains=762020.03 | 87.3 | |
| LABELGRADBackbone=Modified LeNet [LeCun et al., 1998]2018.04 | 86.3 | |
| MASFNumber of training domains=762020.03 | 85.9 | |
| ERMNumber of training domains=762020.03 | 85.5 | |
| CGNumber of training domains=762020.03 | 85.5 | |
| CSDNumber of training domains=502020.03 | 85.1 | |
| LRDNumber of training domains=762020.03 | 84.4 | |
| MASFNumber of training domains=502020.03 | 84.3 | |
| DANBackbone=Modified LeNet [LeCun et al., 1998]2018.04 | 83.8 | |
| CGNumber of training domains=502020.03 | 83.8 | |
| ERMNumber of training domains=502020.03 | 83.2 | |
| LRDNumber of training domains=502020.03 | 83.2 | |
| BaselineBackbone=Modified LeNet [LeCun et al., 1998], Special Training=None2018.04 | 82.5 | |
| MASFNumber of training domains=252020.03 | 78.5 | |
| CSDNumber of training domains=252020.03 | 77.6 | |
| LRDNumber of training domains=252020.03 | 76.2 | |
| CGNumber of training domains=252020.03 | 75.3 | |
| ERMNumber of training domains=252020.03 | 74.5 |