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| Collections: | |
| - Name: NRTR | |
| Metadata: | |
| Training Data: OCRDataset | |
| Training Techniques: | |
| - Adam | |
| Epochs: 6 | |
| Batch Size: 6144 | |
| Training Resources: 48x GeForce GTX 1080 Ti | |
| Architecture: | |
| - CNN | |
| - NRTREncoder | |
| - NRTRDecoder | |
| Paper: | |
| URL: https://arxiv.org/pdf/1806.00926.pdf | |
| Title: 'NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition' | |
| README: configs/textrecog/nrtr/README.md | |
| Models: | |
| - Name: nrtr_r31_1by16_1by8_academic | |
| In Collection: NRTR | |
| Config: configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py | |
| Metadata: | |
| Training Data: | |
| - SynthText | |
| - Syn90k | |
| Results: | |
| - Task: Text Recognition | |
| Dataset: IIIT5K | |
| Metrics: | |
| word_acc: 94.7 | |
| - Task: Text Recognition | |
| Dataset: SVT | |
| Metrics: | |
| word_acc: 87.3 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2013 | |
| Metrics: | |
| word_acc: 94.3 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2015 | |
| Metrics: | |
| word_acc: 73.5 | |
| - Task: Text Recognition | |
| Dataset: SVTP | |
| Metrics: | |
| word_acc: 78.9 | |
| - Task: Text Recognition | |
| Dataset: CT80 | |
| Metrics: | |
| word_acc: 85.1 | |
| Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by16_1by8_academic_20211124-f60cebf4.pth | |
| - Name: nrtr_r31_1by8_1by4_academic | |
| In Collection: NRTR | |
| Config: configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py | |
| Metadata: | |
| Training Data: | |
| - SynthText | |
| - Syn90k | |
| Results: | |
| - Task: Text Recognition | |
| Dataset: IIIT5K | |
| Metrics: | |
| word_acc: 95.2 | |
| - Task: Text Recognition | |
| Dataset: SVT | |
| Metrics: | |
| word_acc: 90.0 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2013 | |
| Metrics: | |
| word_acc: 94.0 | |
| - Task: Text Recognition | |
| Dataset: ICDAR2015 | |
| Metrics: | |
| word_acc: 74.1 | |
| - Task: Text Recognition | |
| Dataset: SVTP | |
| Metrics: | |
| word_acc: 79.4 | |
| - Task: Text Recognition | |
| Dataset: CT80 | |
| Metrics: | |
| word_acc: 88.2 | |
| Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by8_1by4_academic_20211123-e1fdb322.pth | |