WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
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Updated
Mar 18, 2023 - Python
WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
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
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.
World Level American Sign Language Recognition and Translation to Spoken Language
Repository accompanying the "Sign Pose-based Transformer for Word-level Sign Language Recognition" paper
Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)
PyTorch reimplementation of DilatedSLR (IJCAI'18) for continuous sign language recognition.
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues, ECCV 2020
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
수어 번역 프로그램입니다.
Translate signs to English
Code and pre-trained models for my submission to the ChaLearn 2021 LAP challenge.
SAM-SLR-v2 is an improved version of SAM-SLR for sign language recognition.
Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition
Neural Network that is able to translate any sign language into text.
A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
Easy_sign is an open source russian sign language recognition project that uses small CPU model for predictions and is designed for easy deployment via Streamlit.
Use this API to make your own Sign Language Recognition Application.
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