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
Sequence to sequence learning for unconstrained scene text recognition—0
Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition—0
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition—0
Sharp Attention for Sequence to Sequence Learning—0
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition—0
Deep Learning based Isolated Arabic Scene Character Recognition—0
Simultaneous Recognition of Horizontal and Vertical Text in Natural Images—0
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading—0
Vision-Language Adaptive Mutual Decoder for OOV-STR—0
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation—0
Visual attention models for scene text recognition—0
Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition—0
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers—0
STRIDE : Scene Text Recognition In-Device—0
Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition—0
FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition—0
2D-CTC for Scene Text Recognition—0
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids—0
Symmetry-constrained Rectification Network for Scene Text Recognition—0
Synthetically Supervised Feature Learning for Scene Text Recognition—0
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model—0
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition—0
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition—0
Visual-Semantic Transformer for Scene Text Recognition—0
Choose What You Need: Disentangled Representation Learning for Scene Text Recognition Removal and Editing—0
Choose What You Need: Disentangled Representation Learning for Scene Text Recognition, Removal and Editing—0
Text Image Generation for Low-Resource Languages with Dual Translation Learning—0
Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition—0
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation—0
Text Recognition in Real Scenarios with a Few Labeled Samples—0
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution—0
TextScanner: Reading Characters in Order for Robust Scene Text Recognition—0
Lumos : Empowering Multimodal LLMs with Scene Text Recognition—0
Billet Number Recognition Based on Test-Time Adaptation—0
Learning Surrogates via Deep Embedding—0
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam—0
Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition—0
JSTR: Judgment Improves Scene Text Recognition—0
VL-Reader: Vision and Language Reconstructor is an Effective Scene Text Recognizer—0
IndicSTR12: A Dataset for Indic Scene Text Recognition—0
Weakly Supervised Scene Text Generation for Low-resource Languages—0
LEGO: Self-Supervised Representation Learning for Scene Text Images—0
Multilingual Scene Character Recognition System using Sparse Auto-Encoder for Efficient Local Features Representation in Bag of Features—0
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution—0
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory—0
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition—0
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words—0
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition—0
On Calibration of Scene-Text Recognition Models—0
One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance—0
Show:102550
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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