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Models/TrOCR

TrOCR

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Optical Character Recognition (OCR)onIAM(line-level)
Test CER· uses extra data· 2021-09-21
3.4
SOTA
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282
Optical Character Recognition (OCR)onLAM(line-level)
Test CER· uses extra data· 2021-09-21
3.6
best: 2.8 (HTR-VT)
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282
Optical Character Recognition (OCR)onLAM(line-level)
Test WER· uses extra data· 2021-09-21
11.6
best: 7.4 (HTR-VT)
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282

Adversarial3 results

Handwritten Text RecognitiononIAM(line-level)
Test CER· uses extra data· 2021-09-21
3.4
SOTA
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282
Handwritten Text RecognitiononLAM(line-level)
Test CER· uses extra data· 2021-09-21
3.6
best: 2.8 (HTR-VT)
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282
Handwritten Text RecognitiononLAM(line-level)
Test WER· uses extra data· 2021-09-21
11.6
best: 7.4 (HTR-VT)
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models arXiv:2109.10282