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Scene Text Spotting on Total-Text (test)

81.7F-measure (None)Semi-DETR*
34.48446.7425971.258Feb 17, 2020Dec 26, 2020Nov 5, 2021Sep 15, 2022Jul 26, 2023Jun 4, 2024Apr 14, 2025

Evaluation results

MethodLinks
Semi-DETR*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.0481.780.3——————
SemiETSParadigm=Semi-supervised, Data Setting=Fully Labeled2025.0481.387.3——————
ESTextSpotterParadigm=Supervised, Data Setting=Fully Labeled2025.0480.887.1——————
Soft-Teacher*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.0480.686.7——————
Mean-Teacher*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.0480.187.1——————
GLASSParadigm=Supervised, Data Setting=Fully Labeled2025.0479.986.2——————
DeepSoloParadigm=Supervised, Data Setting=Fully Labeled2025.0479.787——————
Supervised baselineParadigm=Semi-supervised, Data Setting=Fully Labeled2025.0479.787——————
Unbiased Teacher v2*Paradigm=Semi-supervised, Data Setting=Fully Labeled2025.0479.687.5——————
CRAFTSMulti-scale inference=false2022.0378.7———————
CRAFTS2023.0478.7———————
UNITSModel Type=Fine-tuned2023.0478.786——————
TTSpolyIOU threshold=0.52022.0278.286.3——————
TTS (poly)Paradigm=Supervised, Data Setting=Fully Labeled2025.0478.286.3——————
UNITS SharedModel Type=Unified2023.0477.385——————
GLASS2023.0476.683——————
TTS2023.0475.684.4——————
MTS-V32022.0275.181.8——————
DEERMulti-scale inference=false2022.0374.8481.34——————
DEER2023.0474.883.3——————
SwinTextSpotter2023.0474.384.1——————
SwinTextSpotterParadigm=Supervised, Data Setting=Fully Labeled2025.0474.384.1——————
SPTSRepresentation=Point-based2021.1274.282.4——————
ABCNet v2Multi-scale=true2021.0573.580.7——————
ABCNet v2Multi-scale inference=true2022.0373.580.7——————
TESTR-PolygonBackbone=ResNet-50, FPS=5.32022.0473.383.9——————
TESTR2023.0473.383.9——————
TESTRParadigm=Supervised, Data Setting=Fully Labeled2025.0473.383.9——————
MANGOInput Size (longer side)=16002020.1272.983.64.3—————
MANGO*IOU threshold=0.12022.0272.983.6——————
MANGOMulti-scale inference=false2022.0372.983.6——————
MANGOBackbone=ResNet-50-FPN, FPS=4.32022.0472.983.6——————
MANGORepresentation=Bounding Box-based2021.1272.983.6——————
MANGO2023.0472.983.6——————
MANGOInput Size (longer side)=12802020.1271.782.68.9—————
TESTR-BezierBackbone=ResNet-50, FPS=5.52022.0471.683.3——————
Mask TextSpotter v3FPS=2.52021.0571.278.4——————
Mask TextSpotter v3Multi-scale inference=false2022.0371.278.4——————
Mask TextSpotter v3Backbone=ResNet-50-FPN2022.0471.278.4——————
Mask TextSpotter v3Representation=Bounding Box-based2021.1271.278.4——————
MaskTextSpotter v32023.0471.278.4——————
Qin et al.Multi-scale inference=false2022.0370.7———————
ABCNet v2FPS=102021.0570.478.1——————
ABCNet-V22022.0270.478.1——————
ABCNet v2Backbone=ResNet-50-FPN, FPS=102022.0470.478.1——————
ABCNet v2Representation=Bounding Box-based2021.1270.478.1——————
ABCNet v22023.0470.478.1——————
ABCNet v2Paradigm=Supervised, Data Setting=Fully Labeled2025.0470.478.1——————
Text PerceptronStage=End-to-end2020.0269.778.3——————
Text Perceptron2020.1269.778.3——————
Text PerceptronBackbone=ResNet-50-FPN2022.0469.778.3——————
ABCNetData=SynText150k, COCO-Text, TT, MLT, Backbone=ResNet-50-FPN, Multi-scale testing=true2020.0269.578.46.9—————
ABCNet-MSBackbone=ResNet-50-FPN, FPS=6.92022.0469.578.4——————
CharNetMulti-scale inference=true2022.0369.2———————
PAN++Multi-scale inference=false2022.0368.678.6——————
PAN++Representation=Bounding Box-based2021.1268.678.6——————
Qin et al.Data=SynText200k, IC15, COCO-Text, TT, MLT, Backbone=ResNet-50-MSF2020.0267.8—4.8—————
Qin et al.FPS=4.82021.0567.8———————
Unconstrained2020.1267.8———————
UnconstrainedBackbone=ResNet-50-MSF2022.0467.8———————
Qin et al.Representation=Bounding Box-based2021.1267.8———————
ABCNet-V12022.0267.276.4——————
CharNetRepresentation=Bounding Box-based2021.1266.6———————
CharNetData=Private: 30k (manual label), 1m (partial label), Backbone=ResNet-50-Hourglass572020.0266.2—1.2—————
CharNet R-50Backbone=ResNet-502020.1266.2—1.2—————
CharNetBackbone=ResNet-50-Hourglass57, FPS=1.22022.0466.2———————
Mask TextSpotter'19Data=SynText800k, IC13, IC15, TT, AddF2k, Backbone=ResNet-50-FPN2020.0265.377.42—————
Mask TextSpotter’19FPS=22021.0565.377.4——————
Mask TextSpotter2020.1265.377.42—————
Mask TextSpotterRepresentation=Bounding Box-based2021.1265.377.4——————
Boundary2020.126576.1——————
Boundary TextSpotterBackbone=ResNet-50-FPN2022.046576.1——————
ABCNetData=SynText150k, COCO-Text, TT, MLT, Backbone=ResNet-50-FPN2020.0264.275.717.9—————
ABCNetFPS=17.92021.0564.275.7——————
ABCNet2020.1264.275.717.9—————
ABCNetRepresentation=Bounding Box-based2021.1264.275.7——————
Text PerceptronStage=2-stage2020.0263.373.9——————
PGNetBackbone=ResNet-50-FPN, FPS=35.52022.0463.1———————
PGNetRepresentation=Bounding Box-based2021.1263.1———————
ABCNetData=SynText800k, IC15, TT, Backbone=ResNet-50-FPN, Short side of input image=6002020.0261.974.122.8—————
Li et al.Multi-scale inference=true2022.0358.56———————
Li et al.Data=SynText840k, IC13, IC15, TT, MLT, AddF2k, Backbone=ResNet-101-FPN2020.0257.8—1.4—————
Li et al.FPS=1.42021.0557.8———————
Feng et al.FPS=7.22021.0555.879.2——————
TextNetMulti-scale inference=false2022.0354.02———————
TextNetData=SynText800k, IC13, IC15, TT, Backbone=ResNet-50-SAM2020.0254—2.7—————
TextNetFPS=2.72021.0554———————
TextNet2020.0254———————
Mask TextSpotter' 18Data=SynText800k, IC13, IC15, TT, Backbone=ResNet-50-FPN2020.0252.971.84.8—————
Mask TextSpotter’18FPS=2.62021.0552.971.8——————
Mask TextSpotter2020.0252.971.8——————
Mask TextSpotterMulti-scale inference=false2022.0352.971.8——————
Mask TextSpotterBackbone=ResNet-50-FPN, FPS=4.82022.0452.971.8——————
TextDragonData=SynText800k, IC15, MLT, TT, Backbone=VGG162020.0248.874.8——————
TextDragonFPS=2.62021.0548.874.8——————
TextDragon2020.1248.874.8——————
TextDragonMulti-scale inference=false2022.0348.874.8——————
Text DragonBackbone=VGG162022.0448.874.8——————
Two-stageData=SynText800k, IC13, IC15, TT, Backbone=ResNet-50-SAM2020.0245———————
TextBoxesData=SynText800k, IC13, IC15, TT, Backbone=ResNet-50-FPN2020.0236.348.91.4—————