Text Spotting on CTW1500
69.8E2E Score (None)BridgeSpotter
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BridgeSpotterFPS=6.72025.02 | 69.8 | 83.9 | |
| OmniParser V2FPS=8.22025.02 | 67.9 | 85.5 | |
| OmniParser V2 SPTpre-training=SPT, FPS=8.22025.02 | 67.4 | 85.4 | |
| OmniParser V2 PTpre-training=PT, FPS=8.22025.02 | 67.3 | 85.2 | |
| OmniParserFPS=2.62025.02 | 66.8 | 85.1 | |
| UNITS2023.04 | 66.4 | 82.3 | |
| UNITSFPS=3.12025.02 | 66.4 | 82.3 | |
| DeepSolocode_source=open-source, FPS=17.02025.02 | 64.9 | 81.2 | |
| SPTSFPS=0.62025.02 | 63.6 | 83.8 | |
| SRSTS v22022.07 | 61.24 | 83.54 | |
| ABINet++FPS=10.62025.02 | 60.2 | 80.3 | |
| TPSNet2025.02 | 59.7 | 79.2 | |
| MANGOInput Size=1080, FPS=8.42020.12 | 58.9 | 78.7 | |
| MANGO2022.04 | 58.9 | 78.7 | |
| MANGOcharacter-level annotations=true2022.07 | 58.9 | 78.7 | |
| MANGO2023.04 | 58.9 | 78.7 | |
| MANGOFPS=8.42025.02 | 58.9 | 78.7 | |
| ABCNet v22022.04 | 57.5 | 77.2 | |
| ABCNet v22022.07 | 57.5 | 77.2 | |
| ABCNet v2FPS=10.02025.02 | 57.5 | 77.2 | |
| Text Perceptron2020.12 | 57 | — | |
| Text Perceptron2022.04 | 57 | — | |
| TextPerceptron2022.07 | 57 | — | |
| TextPerceptron2025.02 | 57 | — | |
| DeepSoloFPS=17.02025.02 | 56.7 | — | |
| TESTR-Polygonannotation=Polygon2022.04 | 56 | 81.5 | |
| TESTR2022.07 | 56 | 81.5 | |
| TESTR2023.04 | 56 | 81.5 | |
| TESTRFPS=5.32025.02 | 56 | 81.5 | |
| SRSTS2022.07 | 55.59 | 78.06 | |
| TESTR-Bezierannotation=Bezier2022.04 | 53.3 | 79.9 | |
| SwinTextspotter2022.07 | 51.8 | 77 | |
| ABCNet v22023.04 | 51.8 | 77 | |
| SwinTextSpotter2023.04 | 51.8 | 77 | |
| SwinTextSpotterFPS=2.92025.02 | 51.8 | 77 | |
| ABCNet2020.12 | 45.2 | 74.1 | |
| ABCNet2022.04 | 45.2 | 74.1 | |
| ABCNet2022.07 | 45.2 | 74.1 | |
| Text Dragon2022.04 | 39.7 | 72.4 | |
| TextDragon2022.07 | 39.7 | 72.4 | |
| TextDragonFPS=2.62025.02 | 39.7 | 72.4 |