Browse > Computer Vision > Sign Language Recognition

Sign Language Recognition

4 papers with code · Computer Vision

Given a signed video input the task is to predict the sequence of signs that is performed.

State-of-the-art leaderboards

Greatest papers with code

Learning to Estimate 3D Hand Pose from Single RGB Images

ICCV 2017 lmb-freiburg/hand3d

Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images.

HAND POSE ESTIMATION SIGN LANGUAGE RECOGNITION

Neural Sign Language Translation

CVPR 2018 neccam/nslt

SLR seeks to recognize a sequence of continuous signs but neglects the underlying rich grammatical and linguistic structures of sign language that differ from spoken language.

GESTURE RECOGNITION LANGUAGE MODELLING MACHINE TRANSLATION SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION TOKENIZATION

SubUNets: End-To-End Hand Shape and Continuous Sign Language Recognition

ICCV 2017 neccam/SubUNets

We propose a novel deep learning approach to solve simultaneous alignment and recognition problems (referred to as "Sequence-to-sequence" learning).

SIGN LANGUAGE RECOGNITION TRANSFER LEARNING

Temporal Unet: Sample Level Human Action Recognition using WiFi

19 Apr 2019geekfeiw/WiSLAR

In this task, every WiFi distortion sample in the whole series should be categorized into one action, which is a critical technique in precise action localization, continuous action segmentation, and real-time action recognition.

ACTION LOCALIZATION SEMANTIC SEGMENTATION SIGN LANGUAGE RECOGNITION ZERO-SHOT ACTION RECOGNITION