SOTAVerified

Sign Language Recognition

Sign Language Recognition is a computer vision and natural language processing task that involves automatically recognizing and translating sign language gestures into written or spoken language. The goal of sign language recognition is to develop algorithms that can understand and interpret sign language, enabling people who use sign language as their primary mode of communication to communicate more easily with non-signers.

( Image credit: Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison )

Papers

Showing 251297 of 297 papers

TitleStatusHype
Iterative Alignment Network for Continuous Sign Language Recognition0
Dense Temporal Convolution Network for Sign Language Translation0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition0
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language0
American Sign Language fingerspelling recognition in the wild0
Connectionist Temporal Fusion for Sign Language Translation0
Improved Techniques for Adversarial Discriminative Domain Adaptation0
Neural Sign Language TranslationCode0
Optimization of Transfer Learning for Sign Language Recognition Targeting Mobile Platform0
SMILE Swiss German Sign Language Dataset0
Video-based Sign Language Recognition without Temporal Segmentation0
A Study of Convolutional Architectures for Handshape Recognition applied to Sign LanguageCode0
SubUNets: End-To-End Hand Shape and Continuous Sign Language RecognitionCode0
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs0
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization0
Learning to Estimate 3D Hand Pose from Single RGB ImagesCode0
Sign Language Recognition Using Temporal Classification0
Sign Language Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language0
Spatial Relationship Based Features for Indian Sign Language Recognition0
An Open Web Platform for Rule-Based Speech-to-Sign Translation0
Reasoning about Body-Parts Relations for Sign Language Recognition0
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled0
BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains0
Modeling Time Series Similarity with Siamese Recurrent Networks0
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition0
Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth mapCode0
Contour-based Hand Pose Recognition for Sign Language Recognition0
Coupling Natural Language Processing and Animation Synthesis in Portuguese Sign Language Translation0
Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network0
Visual Speech Recognition0
Real-Time and Robust Method for Hand Gesture Recognition System Based on Cross-Correlation Coefficient0
Improvement Tracking Dynamic Programming using Replication Function for Continuous Sign Language Recognition0
Unsupervised Feature Learning for Visual Sign Language Identification0
3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL0
Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather0
SLMotion - An extensible sign language oriented video analysis tool0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling0
Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection0
Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design0
Recognition of Indian Sign Language in Live Video0
Pixel-Level Hand Detection in Ego-centric Videos0
Extension of hidden markov model for recognizing large vocabulary of sign language0
Un syst\`eme de segmentation automatique de gestes appliqu\'e \`a la Langue des Signes (An automatic gesture segmentation system applied to Sign Language) [in French]0
RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus0
A platform-independent user-friendly dictionary from Italian to LIS0
Recognition of Nonmanual Markers in American Sign Language (ASL) Using Non-Parametric Adaptive 2D-3D Face Tracking0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SubUNetsWord Error Rate (WER)40.7Unverified
2CTF-MMWord Error Rate (WER)37.8Unverified
3DTNWord Error Rate (WER)36.5Unverified
4SANWord Error Rate (WER)29.7Unverified
5Stochastic CSLRWord Error Rate (WER)25.3Unverified
6CrossModalWord Error Rate (WER)24Unverified
7SLRGANWord Error Rate (WER)23.4Unverified
8DNFWord Error Rate (WER)22.86Unverified
9MSKA-SLRWord Error Rate (WER)22.1Unverified
10VACWord Error Rate (WER)22.1Unverified
#ModelMetricClaimedVerifiedStatus
1Stochastic CSLRWord Error Rate (WER)26.1Unverified
2CrossModalWord Error Rate (WER)24.3Unverified
3SignBTWord Error Rate (WER)23.9Unverified
4MMTLBWord Error Rate (WER)22.45Unverified
5SMKDWord Error Rate (WER)22.4Unverified
6STMCWord Error Rate (WER)21Unverified
7WRNN + LETWord Error Rate (WER)20.73Unverified
8MSKA-SLRWord Error Rate (WER)20.5Unverified
9C2SLRWord Error Rate (WER)20.4Unverified
10SignBERT+Word Error Rate (WER)19.9Unverified
#ModelMetricClaimedVerifiedStatus
1BN-TIN+Transf.Word Error Rate (WER)33.1Unverified
2C2SLRWord Error Rate (WER)31Unverified
3SENWord Error Rate (WER)30.7Unverified
4AdaBrowseWord Error Rate (WER)30.6Unverified
5CorrNetWord Error Rate (WER)30.1Unverified
6CTCAWord Error Rate (WER)29.4Unverified
7TCNetWord Error Rate (WER)29.3Unverified
8CorrNet+ACDRWord Error Rate (WER)29Unverified
9MSKA-SLRWord Error Rate (WER)27.8Unverified
10Swin-MSTPWord Error Rate (WER)27.1Unverified
#ModelMetricClaimedVerifiedStatus
1STF+LSTMRank-1 Recognition Rate0.99Unverified
2SAM-SLR (RGB-D)Rank-1 Recognition Rate0.99Unverified
33D-DCNN + ST-MGCNRank-1 Recognition Rate0.98Unverified
4Ensemble - NTISRank-1 Recognition Rate0.96Unverified
5HWGATRank-1 Recognition Rate0.96Unverified
6MViT-SLRRank-1 Recognition Rate0.96Unverified
7FE+LSTMRank-1 Recognition Rate0.93Unverified
8VTN-PFRank-1 Recognition Rate0.93Unverified
9CNN+FPM+BLSTM+Attention (RGB-D)Rank-1 Recognition Rate0.62Unverified
#ModelMetricClaimedVerifiedStatus
1Logos-PretrainingTop-1 Accuracy66.82Unverified
2Uni-SignTop-1 Accuracy63.52Unverified
3NLA-SLRTop-1 Accuracy61.26Unverified
4StepNetTop-1 Accuracy61.17Unverified
5SAM-SLRTop-1 Accuracy58.73Unverified
6SWIN-SLRTop-1 Accuracy58.51Unverified
7HWGATTop-1 Accuracy48.49Unverified
8I3D (pretraining: BSL-1K)Top-1 Accuracy46.82Unverified
9I3DTop-1 Accuracy32.48Unverified
#ModelMetricClaimedVerifiedStatus
1Uni-SignTop-1 Accuracy92.25Unverified
2SiformerTop-1 Accuracy86.5Unverified
3SignBERTTop-1 Accuracy83.3Unverified
4I3D, ST-GCNTop-1 Accuracy81.38Unverified
5StepNetTop-1 Accuracy78.29Unverified
6I3DTop-1 Accuracy65.89Unverified
7SPOTERTop-1 Accuracy63.18Unverified
#ModelMetricClaimedVerifiedStatus
1HandReader_RGBCER (%)30.7Unverified
2HandReader_KPCER (%)28Unverified
3HandReader_RGBCER (%)27.6Unverified
4HandReader_RGB_KPCER (%)27.1Unverified
5HandReader_KPCER (%)26.2Unverified
6HandReader_RGB+KPCER (%)24.4Unverified
#ModelMetricClaimedVerifiedStatus
1SPOTERAccuracy (%)100Unverified
2SiformerAccuracy (%)99.84Unverified
3HWGATAccuracy (%)98.59Unverified
4Bag of words fusion of hand pose/movement/positionAccuracy (%)97Unverified
53DGCNAccuracy (%)94.84Unverified
#ModelMetricClaimedVerifiedStatus
1HandReader_RGBCER (%)7.61Unverified
2HandReader_KPCER (%)7.35Unverified
3HandReader_RGB_KPCER (%)5.06Unverified
#ModelMetricClaimedVerifiedStatus
1Uni-SignP-I Top-1 Accuracy78.16Unverified
2SignBERT+P-I Top-1 Accuracy73.71Unverified
#ModelMetricClaimedVerifiedStatus
1StepNetTop-1 Accuracy61.17Unverified
2SignBERT+Top-1 Accuracy55.59Unverified
#ModelMetricClaimedVerifiedStatus
1StepNetActions Top-177.1Unverified
#ModelMetricClaimedVerifiedStatus
1MobileNetV2_TSMAccuracy (Top-1)83.6Unverified
#ModelMetricClaimedVerifiedStatus
1HWGATTop-1 Accuracy93.86Unverified
#ModelMetricClaimedVerifiedStatus
13D-DCNN + ST-MGCNRank-1 Recognition Rate0.98Unverified
#ModelMetricClaimedVerifiedStatus
1Skeleton Image RepresentationAccuracy82Unverified
#ModelMetricClaimedVerifiedStatus
1Skeleton Image RepresentationAccuracy93Unverified
#ModelMetricClaimedVerifiedStatus
1mVITv2-SMean Accuracy64.09Unverified