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 110 of 297 papers

TitleStatusHype
Hierarchical Sub-action Tree for Continuous Sign Language RecognitionCode0
SignBart -- New approach with the skeleton sequence for Isolated Sign language RecognitionCode0
SLRNet: A Real-Time LSTM-Based Sign Language Recognition SystemCode0
Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks0
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign LanguageCode0
Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset0
HandReader: Advanced Techniques for Efficient Fingerspelling RecognitionCode0
Logos as a Well-Tempered Pre-train for Sign Language Recognition0
TSLFormer: A Lightweight Transformer Model for Turkish Sign Language Recognition Using Skeletal Landmarks0
Generative Sign-description Prompts with Multi-positive Contrastive Learning for 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
9VACWord Error Rate (WER)22.1Unverified
10MSKA-SLRWord Error Rate (WER)22.1Unverified