Text Spotting on ICDAR 2015 (test)
87.5Accuracy (Strong Lexicon)ESTextSpotter
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ESTextSpotterParadigm=Supervised, Data Setting=Fully Labeled2025.04 | 87.5 | — | — | — | — | — | — | — | 83 | 78.1 | — | |
| SemiETSParadigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 87 | — | — | — | — | — | — | — | 81.6 | 77 | — | |
| DeepSoloParadigm=Supervised, Data Setting=Fully Labeled2025.04 | 86.8 | — | — | — | — | — | — | — | 81.9 | 76.9 | — | |
| Supervised baselineParadigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 86.8 | — | — | — | — | — | — | — | 81.9 | 76.9 | — | |
| Mean-Teacher*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 86.7 | — | — | — | — | — | — | — | 81.2 | 76.8 | — | |
| Soft-Teacher*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 86.2 | — | — | — | — | — | — | — | 78.9 | 74 | — | |
| Semi-DETR*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 85.4 | — | — | — | — | — | — | — | 79.6 | 75 | — | |
| TESTRRepresentation=Polygon2022.04 | 85.2 | — | — | — | — | — | — | — | 79.4 | 73.6 | 65.3 | |
| TESTRParadigm=Supervised, Data Setting=Fully Labeled2025.04 | 85.2 | — | — | — | — | — | — | — | 79.4 | 73.6 | — | |
| Unbiased Teacher v2*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.04 | 85.2 | — | — | — | — | — | — | — | 79.7 | 75.1 | — | |
| GLASSParadigm=Supervised, Data Setting=Fully Labeled2025.04 | 84.7 | — | — | — | — | — | — | — | 80.1 | 76.3 | — | |
| Unconstrained2022.04 | 83.4 | — | — | — | — | — | — | — | 79.9 | 68 | — | |
| Mask TextSpotter v32022.04 | 83.3 | — | — | — | — | — | — | — | 78.1 | 74.2 | — | |
| PGNet2022.04 | 83.3 | — | — | — | — | — | — | — | 78.3 | 63.5 | — | |
| Mask TextSpotter v3Representation=Bounding Box-based2021.12 | 83.3 | — | — | — | — | — | — | — | 78.1 | 74.2 | — | |
| CharNetRepresentation=Bounding Box-based2021.12 | 83.1 | — | — | — | — | — | — | — | 79.2 | 69.1 | — | |
| Mask TextSpotterRepresentation=Bounding Box-based2021.12 | 83 | — | — | — | — | — | — | — | 77.7 | 73.5 | — | |
| ABCNet v22022.04 | 82.7 | — | — | — | — | — | — | — | 78.5 | 73 | — | |
| ABCNetV2Representation=Bounding Box-based2021.12 | 82.7 | — | — | — | — | — | — | — | 78.5 | 73 | — | |
| PAN++Representation=Bounding Box-based2021.12 | 82.7 | — | — | — | — | — | — | — | 78.2 | 69.2 | — | |
| ABCNet v2Paradigm=Supervised, Data Setting=Fully Labeled2025.04 | 82.7 | — | — | — | — | — | — | — | 78.5 | 73 | — | |
| TextDragonRepresentation=Bounding Box-based2021.12 | 82.5 | — | — | — | — | — | — | — | 78.3 | 65.2 | — | |
| He et al.2022.04 | 82 | — | — | — | — | — | — | — | 77 | 63 | — | |
| MANGO2022.04 | 81.8 | — | — | — | — | — | — | — | 78.9 | 67.3 | — | |
| MANGORepresentation=Bounding Box-based2021.12 | 81.8 | — | — | — | — | — | — | — | 78.9 | 67.3 | — | |
| TTS (poly)Paradigm=Supervised, Data Setting=Fully Labeled2025.04 | 81.7 | — | — | — | — | — | — | — | 77.4 | — | — | |
| FOTS2022.04 | 81.1 | — | — | — | — | — | — | — | 75.9 | 60.8 | — | |
| FOTSRepresentation=Bounding Box-based2021.12 | 81.1 | — | — | — | — | — | — | — | 75.9 | 60.8 | — | |
| Text Perceptron2022.04 | 80.5 | — | — | — | — | — | — | — | 76.6 | 65.1 | — | |
| CharNetBackbone=ResNet-502022.04 | 80.1 | — | — | — | — | — | — | — | 74.5 | 62.2 | 60.7 | |
| Boundary TextSpotter2022.04 | 79.7 | — | — | — | — | — | — | — | 75.2 | 64.1 | — | |
| TextNet2022.04 | 78.7 | — | — | — | — | — | — | — | 74.9 | 60.5 | — | |
| SPTSRepresentation=Point-based2021.12 | 77.5 | — | — | — | — | — | — | — | 70.2 | 65.8 | — | |
| SwinTextSpotterParadigm=Supervised, Data Setting=Fully Labeled2025.04 | 77.3 | — | — | — | — | — | — | — | 70.5 | — | — | |
| Qwen2VL2-VL-7BParadigm=VLLMs, Data Setting=Fully Labeled2025.04 | 15.6 | — | — | — | — | — | — | — | 14.4 | 13.3 | — | |
| InternVL2-8BParadigm=VLLMs, Data Setting=Fully Labeled2025.04 | 0 | — | — | — | — | — | — | — | 0 | 0 | — | |
| BoundaryInput Size=1080x19202020.12 | — | 79.7 | 75.2 | 64.1 | — | — | — | — | — | — | — | |
| CharNet R-502020.12 | — | 83.1 | 79.2 | 69.1 | — | — | — | — | — | — | — | |
| FOTS +Input Size=L-2240, support for irregular text=false2020.12 | — | 81.1 | 75.9 | 60.8 | 84.7 | 79.3 | 63.3 | 7.5 | — | — | — | |
| He et al. †support for irregular text=false2020.12 | — | 82 | 77 | 63 | 85 | 80 | 65 | — | — | — | — | |
| MANGOInput Size=L-14402020.12 | — | 80.3 | 77.8 | 66.1 | 84.7 | 81.8 | 69 | 6.2 | — | — | — | |
| MANGOInput Size=L-18002020.12 | — | 81.8 | 78.9 | 67.3 | 86.4 | 83.1 | 70.3 | 4.3 | — | — | — | |
| MANGOInput Size=L-1800, uses specific lexicons from (Liao et al. 2019)=true2020.12 | — | 85.4 | 80.1 | 73.9 | 85.2 | 81.1 | 74.6 | 4.3 | — | — | — | |
| Mask TextSpotterInput Size=S-1600, uses specific lexicons from (Liao et al. 2019)=true2020.12 | — | 83 | 77.7 | 73.5 | 82.4 | 78.1 | 73.6 | 2 | — | — | — | |
| Text PerceptronInput Size=L-20002020.12 | — | 80.5 | 76.6 | 65.1 | 84.1 | 79.4 | 67.9 | — | — | — | — | |
| TextDragon2020.12 | — | 82.5 | 78.3 | 65.2 | 86.2 | 81.6 | 68 | — | — | — | — | |
| TextNet2020.12 | — | 78.7 | 74.9 | 60.5 | 82.4 | 78.4 | 62.4 | — | — | — | — | |
| UnconstrainedInput Size=S-9002020.12 | — | 83.4 | 79.9 | 68 | — | — | — | — | — | — | — |