SOTAVerified

Scene Text Detection

Scene Text Detection is a computer vision task that involves automatically identifying and localizing text within natural images or videos. The goal of scene text detection is to develop algorithms that can robustly detect and and label text with bounding boxes in uncontrolled and complex environments, such as street signs, billboards, or license plates.

Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 213 papers

TitleStatusHype
Efficient Scene Text Detection with Textual Attention Tower—0
EK-Net:Real-time Scene Text Detection with Expand Kernel Distance—0
Explicit Relational Reasoning Network for Scene Text Detection—0
Explore Faster Localization Learning For Scene Text Detection—0
FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection—0
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition—0
Geometry-Aware Scene Text Detection With Instance Transformation Network—0
Gliding vertex on the horizontal bounding box for multi-oriented object detection—0
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019—0
Image Processing Based Scene-Text Detection and Recognition with Tesseract—0
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection—0
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4—0
Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction—0
KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark—0
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting—0
Large Scale Scene Text Verification with Guided Attention—0
Learning Markov Clustering Networks for Scene Text Detection—0
Learning Robust Feature Representations for Scene Text Detection—0
Learning Shape-Aware Embedding for Scene Text Detection—0
Learning to Predict More Accurate Text Instances for Scene Text Detection—0
Location-Aware Feature Selection Text Detection Network—0
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes—0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection—0
Mask R-CNN with Pyramid Attention Network for Scene Text Detection—0
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy—0
MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text Detection—0
MOST: A Multi-Oriented Scene Text Detector with Localization Refinement—0
MSR: Multi-Scale Shape Regression for Scene Text Detection—0
MT: Multi-Perspective Feature Learning Network for Scene Text Detection—0
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild—0
Oriented Objects as pairs of Middle Lines—0
Predictive Ensemble Learning with Application to Scene Text Detection—0
PuzzleNet: Scene Text Detection by Segment Context Graph Learning—0
Real-time Scene Text Detection Based on Global Level and Word Level Features—0
Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt—0
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks—0
Robust Handwriting Recognition with Limited and Noisy Data—0
Robust Text Detection in Natural Scene Images—0
Rotation-Sensitive Regression for Oriented Scene Text Detection—0
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection—0
Running Event Visualization using Videos from Multiple Cameras—0
A method for detecting text of arbitrary shapes in natural scenes that improves text spotting—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
Scene Text Detection via Holistic, Multi-Channel Prediction—0
Scene Text Detection with Scribble Lines—0
Scene Text Detection with Selected Anchor—0
Scene Text Eraser—0
Show:102550
← PrevPage 4 of 5Next →
All datasetsICDAR 2015Total-TextMSRA-TD500SCUT-CTW1500ICDAR 2013ICDAR 2017 MLTCOCO-TextIC19-ArtIC19-ReCTs

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TextFuseNet (ResNeXt-101)F-Measure92.23—Unverified
2CharNet H-88 (multi-scale)F-Measure91.55—Unverified
3CharNet H-88 (single-scale)F-Measure90.97—Unverified
4CharNet H-50 (multi-scale)F-Measure90.16—Unverified
5SBDF-Measure90.1—Unverified
6CharNet H-57 (multi-scale)F-Measure90.06—Unverified
7FOTS MSF-Measure89.84—Unverified
8CharNet H-50 (single-scale)F-Measure89.7—Unverified
9CharNet H-57 (single-scale)F-Measure89.66—Unverified
10PMTDF-Measure89.33—Unverified
#ModelMetricClaimedVerifiedStatus
1MixNetF-Measure90.5—Unverified
2SRFormer (ResNet-50)F-Measure90—Unverified
3DPText-DETR (ResNet-50)F-Measure89—Unverified
4TextFuseNet (ResNeXt-101)F-Measure87.5—Unverified
5FAST-B-800F-Measure87.5—Unverified
6I3CL + SSL(ResNet-50)F-Measure86.9—Unverified
7CharNet H-88 (multi-scale)F-Measure86.5—Unverified
8FAST-B-640F-Measure86.4—Unverified
9DBNet++ (ResNet-50) (800)F-Measure86—Unverified
10FAST-B-512F-Measure85.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MixNetF-Measure89.4—Unverified
2FAST-B-736F-Measure87.3—Unverified
3DBNet++ (ResNet-50) (736)F-Measure87.2—Unverified
4FAST-S-736F-Measure86.4—Unverified
5DBNet++ (ResNet-18) (736)F-Measure85.1—Unverified
6FAST-T-736F-Measure84.9—Unverified
7DB-ResNet-50 (736)F-Measure84.9—Unverified
8FAST-T-512F-Measure84.5—Unverified
9PANF-Measure84.1—Unverified
10CRAFTF-Measure82.9—Unverified
#ModelMetricClaimedVerifiedStatus
1MixNetF-Measure89.8—Unverified
2SRFormer (ResNet-50)F-Measure89.6—Unverified
3DPText-DETR (ResNet50)F-Measure88.8—Unverified
4TextFuseNet (ResNeXt-101)F-Measure87.4—Unverified
5I3CL + SSLF-Measure86.5—Unverified
6PANF-Measure85—Unverified
7FAST-B-640F-Measure84.2—Unverified
8PAN-640F-Measure83.7—Unverified
9CRAFTF-Measure83.5—Unverified
10DB-ResNet50 (1024)F-Measure83.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CRAFTPrecision97.4—Unverified
2TextFuseNet (ResNeXt-101)F-Measure94.61—Unverified
3SPCNETF-Measure92.1—Unverified
4Mask TextSpotterF-Measure91.7—Unverified
5WordSup (VGG16-synth-icdar)F-Measure90.34—Unverified
6STN-OCRF-Measure90.3—Unverified
7PixelLink+VGG16 2s MSF-Measure88.1—Unverified
8TextBoxes++_MSF-Measure88—Unverified
9Corner Localization (multi-scale)F-Measure88—Unverified
10Corner-based Region ProposalsF-Measure87.6—Unverified
#ModelMetricClaimedVerifiedStatus
1PMTD*Precision84.42—Unverified
2Corner Localization (single-scale)Precision83.8—Unverified
3SBDPrecision82.75—Unverified
4FOTS MSPrecision81.86—Unverified
5CharNet H-88Precision81.27—Unverified
6FOTSPrecision80.95—Unverified
7SPCNETPrecision80.6—Unverified
8CRAFTPrecision80.6—Unverified
9PANPrecision80—Unverified
10GNNetsPrecision79.63—Unverified
#ModelMetricClaimedVerifiedStatus
1Corner-based Region ProposalsF-Measure59.1—Unverified
2TextBoxes++_MSF-Measure58.72—Unverified
3EAST + VGG16F-Measure39.45—Unverified
4SSTDF-Measure37—Unverified
5WordSup (VGG16-synth-coco)F-Measure36.8—Unverified
6Yao et al.F-Measure33.31—Unverified
#ModelMetricClaimedVerifiedStatus
1MixNetH-Mean79.7—Unverified
2SRFormer (ResNet-50)H-Mean79.3—Unverified
3TextFuseNet (ResNeXt-101)H-Mean78.6—Unverified
4DPText-DETR (ResNet-50)H-Mean78.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BDNF-Measure93.36—Unverified