SOTAVerified

Scene Text Recognition

See Scene Text Detection for leaderboards in this task.

Papers

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Showing 201–250 of 269 papers

TitleStatusHype
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)Code0
TextSR: Content-Aware Text Super-Resolution Guided by RecognitionCode1
Running Event Visualization using Videos from Multiple Cameras—0
Focus-Enhanced Scene Text Recognition with Deformable ConvolutionsCode0
Adaptive Embedding Gate for Attention-Based Scene Text Recognition—0
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesCode0
Symmetry-constrained Rectification Network for Scene Text Recognition—0
2D-CTC for Scene Text Recognition—0
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding—0
FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition—0
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisCode1
A Holistic Representation Guided Attention Network for Scene Text RecognitionCode0
Pyramid Mask Text DetectorCode0
Scene Text Synthesis for Efficient and Effective Deep Network Training—0
SAFE: Scale Aware Feature Encoder for Scene Text Recognition—0
A Multi-Object Rectified Attention Network for Scene Text RecognitionCode0
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural NetworksCode1
Recurrent Calibration Network for Irregular Text Recognition—0
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification—0
Simultaneous Recognition of Horizontal and Vertical Text in Natural Images—0
Connectionist Temporal Classification with Maximum Entropy RegularizationCode0
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text RecognitionCode1
Visual Re-ranking with Natural Language Understanding for Text SpottingCode0
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids—0
Scene Text Recognition from Two-Dimensional Perspective—0
Synthetically Supervised Feature Learning for Scene Text Recognition—0
Double Supervised Network with Attention Mechanism for Scene Text Recognition—0
Adaptive Adversarial Attack on Scene Text Recognition—0
ASTER: An Attentional Scene Text Recognizer with Flexible RectificationCode0
Multilingual Scene Character Recognition System using Sparse Auto-Encoder for Efficient Local Features Representation in Bag of Features—0
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text RecognitionCode0
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition—0
Edit Probability for Scene Text Recognition—0
Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition—0
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and BeyondCode0
TextBoxes++: A Single-Shot Oriented Scene Text DetectorCode0
FOTS: Fast Oriented Text Spotting with a Unified NetworkCode0
SEE: Towards Semi-SupervisedEnd-to-End Scene Text Recognition—0
SEE: Towards Semi-Supervised End-to-End Scene Text RecognitionCode0
AON: Towards Arbitrarily-Oriented Text RecognitionCode0
Unconstrained Scene Text and Video Text Recognition for Arabic Script—0
Total-Text: A Comprehensive Dataset for Scene Text Detection and RecognitionCode0
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition—0
Reading Scene Text with Attention Convolutional Sequence Modeling—0
Focusing Attention: Towards Accurate Text Recognition in Natural Images—0
Scene Text Recognition with Sliding Convolutional Character Models—0
STN-OCR: A single Neural Network for Text Detection and Text RecognitionCode0
Visual attention models for scene text recognition—0
Deep Learning based Isolated Arabic Scene Character Recognition—0
Improving Text Proposals for Scene Images with Fully Convolutional NetworksCode0
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All datasetsICDAR2013SVTICDAR2015CUTE80IIIT5kSVTPICDAR 2003WOSTIC19-ArtCOCO-TextHOSTUber-Text

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CLIP4STR-L*Accuracy99.42—Unverified
2DTrOCR 105MAccuracy99.4—Unverified
3CLIP4STR-L (DataComp-1B)Accuracy99—Unverified
4MGP-STRAccuracy98.5—Unverified
5CLIP4STR-LAccuracy98.5—Unverified
6CLIP4STR-BAccuracy98.3—Unverified
7CCD-ViT-Base(ARD_2.8M)Accuracy98.3—Unverified
8CCD-ViT-Small(ARD_2.8M)Accuracy98.3—Unverified
9MATRNAccuracy97.9—Unverified
10S-GTRAccuracy97.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-H (DFN-5B)Accuracy99.1—Unverified
2DTrOCR 105MAccuracy98.9—Unverified
3CLIP4STR-B*Accuracy98.76—Unverified
4MGP-STRAccuracy98.6—Unverified
5CLIP4STR-L (DataComp-1B)Accuracy98.6—Unverified
6CLIP4STR-LAccuracy98.5—Unverified
7CPPDAccuracy98.5—Unverified
8CLIP4STR-BAccuracy98.3—Unverified
9CCD-ViT-Base(ARD_2.8M)Accuracy97.8—Unverified
10CCD-ViT-Small(ARD_2.8M)Accuracy96.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy93.5—Unverified
2CLIP4STR-L*Accuracy92.6—Unverified
3CPPDAccuracy91.7—Unverified
4CLIP4STR-L (DataComp-1B)Accuracy91.4—Unverified
5MGP-STRAccuracy90.9—Unverified
6CLIP4STR-LAccuracy90.8—Unverified
7CLIP4STR-BAccuracy90.6—Unverified
8SIGA_SAccuracy87.6—Unverified
9S-GTRAccuracy87.3—Unverified
10MATRNAccuracy86.6—Unverified
#ModelMetricClaimedVerifiedStatus
1CPPDAccuracy99.7—Unverified
2CLIP4STR-L (DataComp-1B)Accuracy99.7—Unverified
3CLIP4STR-B*Accuracy99.65—Unverified
4MGP-STRAccuracy99.31—Unverified
5CLIP4STR-BAccuracy99.3—Unverified
6DTrOCR 105MAccuracy99.1—Unverified
7CLIP4STR-LAccuracy99—Unverified
8CCD-ViT-Base(ARD_2.8M)Accuracy98.3—Unverified
9CCD-ViT-Small(ARD_2.8M)Accuracy98.3—Unverified
10CCD-ViT-Tiny(ARD_2.8M)Accuracy95.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy99.6—Unverified
2CLIP4STR-L (DataComp-1B)Accuracy99.6—Unverified
3CLIP4STR-LAccuracy99.5—Unverified
4CLIP4STR-B (DataComp-1B)Accuracy99.5—Unverified
5CPPDAccuracy99.3—Unverified
6CLIP4STR-BAccuracy99.2—Unverified
7MGP-STRAccuracy98.8—Unverified
8CCD-ViT-Base(ARD_2.8M)Accuracy98—Unverified
9CCD-ViT-Small(ARD_2.8M)Accuracy98—Unverified
10S-GTRAccuracy97.5—Unverified
#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy98.6—Unverified
2MGP-STRAccuracy98.3—Unverified
3CLIP4STR-L*Accuracy98.13—Unverified
4CLIP4STR-L (DataComp-1B)Accuracy98.1—Unverified
5CLIP4STR-LAccuracy97.4—Unverified
6CLIP4STR-BAccuracy97.2—Unverified
7CPPDAccuracy96.7—Unverified
8CCD-ViT-BaseAccuracy96.1—Unverified
9CCD-ViT-SmallAccuracy92.7—Unverified
10CCD-ViT-TinyAccuracy91.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Yet Another Text RecognizerAccuracy97.1—Unverified
2SIGA_TAccuracy97—Unverified
3SATRNAccuracy96.7—Unverified
4DANAccuracy95—Unverified
5SAFLAccuracy95—Unverified
6CSTRAccuracy94.8—Unverified
7Baek et al.Accuracy94.4—Unverified
8ViTSTRAccuracy94.3—Unverified
9AONAccuracy91.5—Unverified
10RAREAccuracy90.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-H (DFN-5B)1:1 Accuracy90.9—Unverified
2CLIP4STR-L (DataComp-1B)1:1 Accuracy90.6—Unverified
3CLIP4STR-L1:1 Accuracy88.8—Unverified
4CLIP4STR-B1:1 Accuracy87—Unverified
5CCD-ViT-Base1:1 Accuracy86—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-L (DataComp-1B)Accuracy (%)86.4—Unverified
2CLIP4STR-LAccuracy (%)85.9—Unverified
3CLIP4STR-BAccuracy (%)85.8—Unverified
4MGP-STRAccuracy (%)85.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-L1:1 Accuracy81.9—Unverified
2MGP-STR1:1 Accuracy81.7—Unverified
3CLIP4STR-B1:1 Accuracy81.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-L1:1 Accuracy82.7—Unverified
2CLIP4STR-B1:1 Accuracy79.8—Unverified
3CCD-ViT-Base1:1 Accuracy77.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4STR-L (DataComp-1B)Accuracy (%)92.2—Unverified
2MGP-STRAccuracy (%)91—Unverified
3CLIP4STR-BAccuracy (%)86.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ABINet-LV+TPS++Accuracy97.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MLDGAverage Accuracy19.02—Unverified
#ModelMetricClaimedVerifiedStatus
1ABINet-LV+TPS++Accuracy89.6—Unverified