SOTAVerified

Scene Text Recognition

See Scene Text Detection for leaderboards in this task.

Papers

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Showing 101–150 of 269 papers

TitleStatusHype
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam—0
Billet Number Recognition Based on Test-Time Adaptation—0
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution—0
Char-Net: A Character-Aware Neural Network for Distorted 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
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition—0
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition—0
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model—0
Context Perception Parallel Decoder for Scene Text Recognition—0
Revisiting Classification Perspective on Scene Text Recognition—0
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids—0
Decoder Pre-Training with only Text for Scene Text Recognition—0
Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition—0
Deep Learning based Isolated Arabic Scene Character Recognition—0
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition—0
DiffusionSTR: Diffusion Model for Scene Text Recognition—0
Mixed Text Recognition with Efficient Parameter Fine-Tuning and Transformer—0
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond—0
Double Supervised Network with Attention Mechanism for Scene Text Recognition—0
Edit Probability for Scene Text Recognition—0
Efficient and Accurate Scene Text Recognition with Cascaded-Transformers—0
Efficiently Leveraging Linguistic Priors for Scene Text Spotting—0
Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues—0
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification—0
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks—0
Exploring Font-independent Features for Scene Text Recognition—0
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition—0
FEDS -- Filtered Edit Distance Surrogate—0
Focusing Attention: Towards Accurate Text Recognition in Natural Images—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data—0
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition—0
HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition—0
Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition—0
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition—0
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition—0
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory—0
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution—0
IndicSTR12: A Dataset for Indic Scene Text Recognition—0
Instruction-Guided Scene Text Recognition—0
JSTR: Judgment Improves Scene Text Recognition—0
Learning Surrogates via Deep Embedding—0
LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition—0
Lumos : Empowering Multimodal LLMs with Scene Text Recognition—0
Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition—0
Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition—0
Multilingual Scene Character Recognition System using Sparse Auto-Encoder for Efficient Local Features Representation in Bag of Features—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