 A scene text detection method based on maskrcnn | 94.12% | 94.12% | 94.12% |
| AntFin-Cascade Mask R-CNN | 94.12% | 94.12% | 94.12% |
| Fudan-Supremind Detection v3 | 94.12% | 88.89% | 91.43% |
| DMCA | 94.12% | 88.89% | 91.43% |
| TextFuseNet (ResNeXt-101) | 94.12% | 88.89% | 91.43% |
| TextFuseNet (ResNet-50) | 94.12% | 88.89% | 91.43% |
| CPN (multi-scale) | 94.12% | 88.89% | 91.43% |
| PAT-S.Y | 88.24% | 93.75% | 90.91% |
| DMText_art | 88.24% | 93.75% | 90.91% |
| Mask R-CNN | 94.12% | 84.21% | 88.89% |
| baseline_polygon | 88.24% | 88.24% | 88.24% |
| Sg_ptd | 88.24% | 88.24% | 88.24% |
| SRCB_Art | 88.24% | 88.24% | 88.24% |
| MaskDet | 88.24% | 88.24% | 88.24% |
| CUTeOCR | 88.24% | 88.24% | 88.24% |
| MEGVII_Detection | 88.24% | 88.24% | 88.24% |
| NJU-ImagineLab | 88.24% | 88.24% | 88.24% |
| Sogou_OCR | 88.24% | 88.24% | 88.24% |
| Tencent TEG OCR | 88.24% | 88.24% | 88.24% |
| TD-PPIoU | 88.24% | 88.24% | 88.24% |
| TMIS | 82.35% | 93.33% | 87.50% |
| MaskRCNN_Text | 88.24% | 83.33% | 85.71% |
| I3CL | 88.24% | 83.33% | 85.71% |
| dp_nn | 88.24% | 83.33% | 85.71% |
| dp_pq_nn | 88.24% | 83.33% | 85.71% |
| DuXiaoman_OCR | 82.35% | 87.50% | 84.85% |
| TD-PPIoU (Long-Pretrain) | 82.35% | 87.50% | 84.85% |
| TEXT_SNIPER | 94.12% | 76.19% | 84.21% |
| SRFormer (ResNet50-#1seg) | 94.12% | 76.19% | 84.21% |
| Art_test_baseline_task1 | 88.24% | 78.95% | 83.33% |
| Alibaba-PAI | 88.24% | 78.95% | 83.33% |
| CCISTD | 88.24% | 78.95% | 83.33% |
| fdu_ai | 82.35% | 82.35% | 82.35% |
| TextBPN++(ResNet-50 with DCN) | 82.35% | 82.35% | 82.35% |
| LRANet | 94.12% | 72.73% | 82.05% |
| I3CL(ViTAEv2-S) | 88.24% | 75.00% | 81.08% |
| Art detect by vivo | 82.35% | 77.78% | 80.00% |
| CPNText-DETR(resnet-50) | 88.24% | 71.43% | 78.95% |
| ESRNet | 88.24% | 71.43% | 78.95% |
| RAST: Robust Arbitrary Shape Text Detector | 76.47% | 81.25% | 78.79% |
| Mask RCNN | 94.12% | 66.67% | 78.05% |
| CLTDR | 88.24% | 68.18% | 76.92% |
| ArtDet-v2 | 82.35% | 70.00% | 75.68% |
| mask rcnn | 76.47% | 72.22% | 74.29% |
| MFTD: Mask Filters for Text Detection | 76.47% | 72.22% | 74.29% |
| CRAFT | 76.47% | 72.22% | 74.29% |
| AutoCV | 76.47% | 72.22% | 74.29% |
| HOCRA | 76.47% | 72.22% | 74.29% |
| TextBPN++(ResNet-50) | 76.47% | 72.22% | 74.29% |
| DPText-DETR (ResNet-50) | 76.47% | 72.22% | 74.29% |
| Unicamp-SRBR-PN-1 | 82.35% | 66.67% | 73.68% |
| Improved Progressive scale expansion Net | 64.71% | 78.57% | 70.97% |
| TextMask_V1 | 70.59% | 70.59% | 70.59% |
| QAQ | 76.47% | 65.00% | 70.27% |
| NN_euro6 | 58.82% | 83.33% | 68.97% |
| TP | 64.71% | 73.33% | 68.75% |
| 1 | 70.59% | 63.16% | 66.67% |
| TextCohesion_1 | 58.82% | 76.92% | 66.67% |
| EM-DATA | 64.71% | 68.75% | 66.67% |
| inception baseline | 58.82% | 76.92% | 66.67% |
| NN_Chinese_and_euro6 | 70.59% | 60.00% | 64.86% |
| HOCRA_base | 52.94% | 81.82% | 64.29% |
| MSR | 0.00% | 0.00% | 0.00% |