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
Connectionist Temporal Fusion for Sign Language Translation0
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory0
Continuous Sign Language Recognition System using Deep Learning with MediaPipe Holistic0
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space0
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network0
Continuous Sign Language Recognition Using Intra-inter Gloss Attention0
Continuous Sign Language Recognition with Adapted Conformer via Unsupervised Pretraining0
Contour-based Hand Pose Recognition for Sign Language Recognition0
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs0
CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition0
Coupling Natural Language Processing and Animation Synthesis in Portuguese Sign Language Translation0
Cross-Language Transfer Learning using Visual Information for Automatic Sign Gesture Recognition0
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset0
Deep Neural Network-Based Sign Language Recognition: A Comprehensive Approach Using Transfer Learning with Explainability0
Deep Radial Embedding for Visual Sequence Learning0
Dense Temporal Convolution Network for Sign Language Translation0
Design of Arabic Sign Language Recognition Model0
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition0
Efficient sign language recognition system and dataset creation method based on deep learning and image processing0
Egyptian Sign Language Recognition Using CNN and LSTM0
End-To-End Sign Language Translation via Multitask Learning0
Enhanced dynamic sign language recognition using slowfast networks0
Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation0
Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset0
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition0
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition0
Evaluation of Manual and Non-manual Components for Sign Language Recognition0
EvSign: Sign Language Recognition and Translation with Streaming Events0
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction0
Extension of hidden markov model for recognizing large vocabulary of sign language0
Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather0
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language0
FineHand: Learning Hand Shapes for American Sign Language Recognition0
Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks0
Fully Convolutional Networks for Continuous Sign Language Recognition0
Generative Multi-Stream Architecture For American Sign Language Recognition0
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition0
Gesture based Arabic Sign Language Recognition for Impaired People based on Convolution Neural Network0
Global-local Enhancement Network for NMFs-aware Sign Language Recognition0
Greek Sign Language Recognition for the SL-ReDu Learning Platform0
Handshape recognition for Argentinian Sign Language using ProbSom0
Hierarchical I3D for Sign Spotting0
Human Part-wise 3D Motion Context Learning for Sign Language Recognition0
Image-based Indian Sign Language Recognition: A Practical Review using Deep Neural Networks0
A Classification Model Utilizing Facial Landmark Tracking to Determine Sentence Types for American Sign Language Recognition0
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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