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 201250 of 297 papers

TitleStatusHype
Towards Performance Improvement in Indian Sign Language Recognition0
Pose-based Sign Language Recognition using GCN and BERT0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction0
A Dataset for Linguistic Understanding, Visual Evaluation, and Recognition of Sign Languages: The K-RSL0
Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural NetworksCode0
American Sign Language Identification Using Hand Trackpoint Analysis0
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language TranslationCode2
Boosting Continuous Sign Language Recognition via Cross Modality Augmentation0
Score-level Multi Cue Fusion for Sign Language Recognition0
Visual Methods for Sign Language Recognition: A Modality-Based Review0
American Sign Language Recognition Using RF Sensing0
Global-local Enhancement Network for NMFs-aware Sign Language Recognition0
Quantitative Survey of the State of the Art in Sign Language RecognitionCode1
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods0
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language RecognitionCode1
Fully Convolutional Networks for Continuous Sign Language Recognition0
A Comprehensive Study on Deep Learning-based Methods for Sign Language RecognitionCode0
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cuesCode1
Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template0
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction0
BlazePose: On-device Real-time Body Pose trackingCode4
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space0
LSE\_UVIGO: A Multi-source Database for Spanish Sign Language Recognition0
Unsupervised Term Discovery for Continuous Sign Language0
Improving and Extending Continuous Sign Language Recognition: Taking Iconicity and Spatial Language into account0
Sign Language Recognition with Transformer Networks0
Evaluation of Manual and Non-manual Components for Sign Language Recognition0
TheRuSLan: Database of Russian Sign Language0
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory0
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs0
Temporal Accumulative Features for Sign Language Recognition0
BosphorusSign22k Sign Language Recognition Dataset0
Better Sign Language Translation with STMC-TransformerCode1
Sign Language Transformers: Joint End-to-end Sign Language Recognition and TranslationCode1
Generative Multi-Stream Architecture For American Sign Language Recognition0
Transferring Cross-domain Knowledge for Video Sign Language Recognition0
FineHand: Learning Hand Shapes for American Sign Language Recognition0
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language0
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition0
Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote InferenceCode0
Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model0
SignCol: Open-Source Software for Collecting Sign Language GesturesCode0
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods ComparisonCode1
Sign Language Recognition Analysis using Multimodal Data0
Fingerspelling recognition in the wild with iterative visual attentionCode1
Sign Language Recognition, Generation, and Translation: An Interdisciplinary PerspectiveCode1
SF-Net: Structured Feature Network for Continuous Sign Language Recognition0
Improving American Sign Language Recognition with Synthetic Data0
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?0
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative TrainingCode0
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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
9VACWord Error Rate (WER)22.1Unverified
10MSKA-SLRWord 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