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Collections: | |
- Name: NRTR | |
Metadata: | |
Training Data: OCRDataset | |
Training Techniques: | |
- Adam | |
Epochs: 6 | |
Batch Size: 384 | |
Training Resources: 1x NVIDIA A100-SXM4-80GB | |
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_modality-transform_6e_st_mj | |
In Collection: NRTR | |
Config: configs/textrecog/nrtr/nrtr_modality-transform_6e_st_mj.py | |
Metadata: | |
Training Data: | |
- SynthText | |
- Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 0.9150 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 0.8825 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 0.9369 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 0.7232 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 0.7783 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 0.7500 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_modality-transform_6e_st_mj/nrtr_modality-transform_6e_st_mj_20220916_103322-bd9425be.pth | |
- Name: nrtr_resnet31-1by8-1by4_6e_st_mj | |
Alias: | |
- NRTR | |
- NRTR_1/8-1/4 | |
In Collection: NRTR | |
Config: configs/textrecog/nrtr/nrtr_resnet31-1by8-1by4_6e_st_mj.py | |
Metadata: | |
Training Data: | |
- SynthText | |
- Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 0.9483 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 0.8825 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 0.9507 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 0.7559 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 0.8016 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 0.8889 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_resnet31-1by8-1by4_6e_st_mj/nrtr_resnet31-1by8-1by4_6e_st_mj_20220916_103322-a6a2a123.pth | |
- Name: nrtr_resnet31-1by16-1by8_6e_st_mj | |
Alias: NRTR_1/16-1/8 | |
In Collection: NRTR | |
Config: configs/textrecog/nrtr/nrtr_resnet31-1by16-1by8_6e_st_mj.py | |
Metadata: | |
Training Data: | |
- SynthText | |
- Syn90k | |
Results: | |
- Task: Text Recognition | |
Dataset: IIIT5K | |
Metrics: | |
word_acc: 0.9470 | |
- Task: Text Recognition | |
Dataset: SVT | |
Metrics: | |
word_acc: 0.8964 | |
- Task: Text Recognition | |
Dataset: ICDAR2013 | |
Metrics: | |
word_acc: 0.9399 | |
- Task: Text Recognition | |
Dataset: ICDAR2015 | |
Metrics: | |
word_acc: 0.7357 | |
- Task: Text Recognition | |
Dataset: SVTP | |
Metrics: | |
word_acc: 0.7969 | |
- Task: Text Recognition | |
Dataset: CT80 | |
Metrics: | |
word_acc: 0.8854 | |
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_resnet31-1by16-1by8_6e_st_mj/nrtr_resnet31-1by16-1by8_6e_st_mj_20220920_143358-43767036.pth | |