WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
Effortless Real-Time Sign Language Translation
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Indian Sign language Recognition using OpenCV
Resources about Sign Language Processing (e.g., Sign Language Recognition / Translation / Production)
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
Real-time Recognition of german sign language (DGS) with MediaPipe
Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟
I created an application which takes in live speech or audio recording as input, converts it into text and displays the relevant Indian Sign Language images or GIFs, using Natural Language Processing and Machine Learning Algorithm.
Repository accompanying the "Sign Pose-based Transformer for Word-level Sign Language Recognition" paper
A simple ASL (American Sign Language) alphabet detection using TensorFlow and Handpose model
A Machine Learning pipeline that performs hand localization and static-gesture recognition built using the scikit learn and scikit image libraries
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues, ECCV 2020
papers on sign language recognition and related fields
Final Year Project serving the sign language translator with custom made capability
Neural Network that is able to translate any sign language into text.
A simple sign language detection web app built using Next.js and Tensorflow.js. 2020 Congressional App Challenge. Winner! Developed by Mahesh Natamai and Arjun Vikram.
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