Inactive evaluations
method: gts-1000-minsize_13002024-03-14
Authors: w
Affiliation: n
Description: 342
method: gts-1000-th_0.42024-03-14
Authors: w
Affiliation: n
Description: 2312
method: gts-1000-minsize_1440-th_0.42024-03-14
Authors: w
Affiliation: n
Description: 3424
Description Paper Source Code
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2024-03-14 | gts-1000-minsize_1300 | 90.42% | 95.44% | 92.86% | |||
| 2024-03-14 | gts-1000-th_0.4 | 91.00% | 94.08% | 92.52% | |||
| 2024-03-14 | gts-1000-minsize_1440-th_0.4 | 89.72% | 93.66% | 91.65% | |||
| 2018-03-05 | HoText_v1 | 86.92% | 90.73% | 88.78% | |||
| 2021-02-05 | AIX Lab., LG Electronics | 88.32% | 88.63% | 88.47% | |||
| 2017-03-20 | AdelaideMachineLearning | 84.23% | 92.55% | 88.20% | |||
| 2018-01-22 | FOTS | 85.05% | 90.66% | 87.76% | |||
| 2017-07-11 | SRC-B-MachineLearningLab | 86.57% | 88.64% | 87.59% | |||
| 2017-06-09 | TextBoxes++ | 84.81% | 89.74% | 87.21% | |||
| 2017-01-19 | Yunos_Robot1.0 | 78.97% | 96.30% | 86.78% | |||
| 2016-08-23 | HUST_MCLAB | 82.01% | 90.23% | 85.92% | |||
| 2016-03-17 | Adelaide_ConvLSTMs | 75.93% | 91.29% | 82.91% | |||
| 2016-03-10 | SRC-B-TextProcessingLab | 78.50% | 84.32% | 81.31% | |||
| 2015-10-20 | Deep2Text II+ | 72.08% | 87.15% | 78.90% | |||
| 2015-04-02 | Deep2Text II-2 | 72.08% | 83.49% | 77.37% | |||
| 2015-04-01 | Deep2Text I | 69.74% | 85.78% | 76.93% | |||
| 2015-04-02 | StradVision-1 | 68.34% | 72.13% | 70.19% | |||
| 2015-04-02 | Beam search CUNI (decoding for TextSpotter - no postprocessing) | 56.19% | 63.04% | 59.42% | |||
| 2015-05-04 | Baseline OpenCV 3.0 + Tesseract | 38.90% | 51.87% | 44.46% | |||
| 2015-04-02 | Beam search CUNI +S (decoding for TextSpotter - spell checked) | 12.97% | 67.68% | 21.76% | |||
| 2015-04-01 | Baseline-TextSpotter | 0.00% | 0.00% | 0.00% |