Textline detection | 100.00% | 100.00% | 100.00% |
EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
CTPN-SROIE | 100.00% | 100.00% | 100.00% |
BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
Unet and Morphology Prediction | 100.00% | 100.00% | 100.00% |
A Text Localization Method Based on CTPN | 100.00% | 100.00% | 100.00% |
IFLYTEK-textDet_v3 | 100.00% | 100.00% | 100.00% |
Pixellink multi-scale Detection | 100.00% | 100.00% | 100.00% |
SituTech_OCR | 100.00% | 100.00% | 100.00% |
Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
H&H Lab | 100.00% | 100.00% | 100.00% |
Yolov3_Autohome | 100.00% | 100.00% | 100.00% |
HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
MCTPN2 | 100.00% | 100.00% | 100.00% |
GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
EM_ocr | 100.00% | 100.00% | 100.00% |
BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
Clova OCR | 100.00% | 100.00% | 100.00% |
EfficientDet and EAST | 100.00% | 100.00% | 100.00% |
EAST modified | 100.00% | 100.00% | 100.00% |
BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
only PAN | 100.00% | 100.00% | 100.00% |
Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
NetEase OCR | 100.00% | 100.00% | 100.00% |
58CV | 100.00% | 100.00% | 100.00% |
58 OCR100 | 100.00% | 100.00% | 100.00% |
DR Team | 100.00% | 100.00% | 100.00% |
Sunshine_OCR | 100.00% | 100.00% | 100.00% |
Linklogis_BigData | 100.00% | 100.00% | 100.00% |
test_1.7 | 100.00% | 100.00% | 100.00% |
Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
Granville ocr | 100.00% | 100.00% | 100.00% |
BreSee OCR | 100.00% | 100.00% | 100.00% |
Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
A modified CTPN model 1.0 | 100.00% | 100.00% | 100.00% |
A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
ViTLP | 100.00% | 100.00% | 100.00% |
CITlab Argus Textline Detection | 99.23% | 98.52% | 98.87% |
PhucPH | 100.00% | 96.30% | 98.11% |
A Single-Shot Model for Robust Text Localization | 100.00% | 92.86% | 96.30% |
Vsdnu | 96.15% | 96.15% | 96.15% |
Improved yolov3 model | 92.31% | 92.31% | 92.31% |
ICA-IVA | 92.31% | 92.31% | 92.31% |
base1 | 92.31% | 92.31% | 92.31% |
base2 | 92.31% | 92.31% | 92.31% |
base3 | 92.31% | 92.31% | 92.31% |
test_1.6 | 88.46% | 88.46% | 88.46% |
base4 | 84.62% | 84.62% | 84.62% |
test | 84.62% | 84.62% | 84.62% |
MDetector | 92.31% | 77.42% | 84.21% |
YOLO Text Detector | 80.00% | 80.00% | 80.00% |
scene text detection weapon | 79.23% | 70.17% | 74.43% |
Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 73.85% | 71.58% | 72.69% |
Original CRAFT for SROIE | 68.46% | 68.53% | 68.50% |
Unet Segmentation and Watershed | 57.69% | 57.69% | 57.69% |
Practicing project for Scientific Research Subject (HCMUS master program) | 65.38% | 49.25% | 56.18% |
Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |