 SCUT-DLVClab | 1 | Symbols | Symbols |
| ecn-based method | | Symbols | Latin |
| CNN based method 2 | | Symbols | Latin |
| CNN based method 4 | | Symbols | Latin |
| TNet | | Symbols | Korean |
| CNN based method 5 | | Symbols | Latin |
| TH-CNN | | Symbols | Latin |
| An approach towards Word-Level Multi-Script Identification using Deep Transfer Features and SVM | | Symbols | Latin |
| TH-DL | | Symbols | Japanese |
| CNN based method 7 | | Symbols | Latin |
| BLCT | | Symbols | Japanese |
| BLCT | | Symbols | Japanese |
| CLOVA-AI / PAPAGO | | Symbols | Latin |
| HUST(GS) | | Symbols | Latin |
| HUST(GSPA) | | Symbols | Latin |
| 4Paradigm-Data-Intelligence | | Symbols | Latin |
| CNN based method | | Symbols | Latin |
| Convolution based method 2 | | Symbols | Latin |
| Convolution based method 3 | | Symbols | Latin |
| Multi_scale_v2 | | Symbols | Latin |
| RAMSI | | Symbols | Latin |
| ResNeSt101 | | Symbols | Latin |