Handwriting Recognition on RIMES
1.9CERBluche and Messina
Evaluation Results
| Method | Links | |
|---|---|---|
| Bluche and MessinaRect.=No, Encoder/Decoder=GCRNN/CTC, Train Dataset=IAM (50k lexicon)2021.04 | 1.9 | |
| S-Attn/CTC + LMRect.=No, Encoder/Decoder=S-Attn/CTC + LM, Train Dataset=Internal + Public2021.04 | 1.99 | |
| TransformerRect.=No, Encoder/Decoder=Transformer, Train Dataset=Internal + Public2021.04 | 2.01 | |
| S-Attn/CTCRect.=No, Encoder/Decoder=S-Attn/CTC, Train Dataset=Internal + Public2021.04 | 2.48 | |
| Wang et al.Rect.=No, Encoder/Decoder=FCN/GRU, Train Dataset=MJ + ST2021.04 | 2.7 | |
| S-Attn/CTC + LMRect.=No, Encoder/Decoder=S-Attn/CTC + LM, Train Dataset=Internal2021.04 | 7.79 | |
| TransformerRect.=No, Encoder/Decoder=Transformer, Train Dataset=Internal2021.04 | 9.71 | |
| S-Attn/CTCRect.=No, Encoder/Decoder=S-Attn/CTC, Train Dataset=Internal2021.04 | 10.8 |