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Towards the extraction of robust sign embeddings for low resource sign language recognition
Isolated Sign Language Recognition (SLR) has mostly been applied on datasets containing
signs executed slowly and clearly by a limited group of signers. In real-world scenarios …
signs executed slowly and clearly by a limited group of signers. In real-world scenarios …
From scarcity to understanding: transfer learning for the extremely low resource irish sign language
One of the most significant challenges to sign language recognition (SLR) today is the low
resource nature of sign language datasets, with many datasets being extremely low …
resource nature of sign language datasets, with many datasets being extremely low …
Translating Spanish into Spanish Sign Language: Combining rules and data-driven approaches
This paper presents a series of experiments on translating between spoken Spanish and
Spanish Sign Language glosses (LSE), including enriching Neural Machine Translation …
Spanish Sign Language glosses (LSE), including enriching Neural Machine Translation …
Metamorphic Testing for Pose Estimation Systems
Pose estimation systems are used in a variety of fields, from sports analytics to livestock
care. Given their potential impact, it is paramount to systematically test their behaviour and …
care. Given their potential impact, it is paramount to systematically test their behaviour and …
The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models
Pose estimation keypoints are widely used in sign language recognition (SLR) as a means
of generalising to unseen signers. Despite the advantages of keypoints, SLR models …
of generalising to unseen signers. Despite the advantages of keypoints, SLR models …
[PDF][PDF] Skeleton-based ethiopian sign language recognition using deep learning
D Kuma, M Meshesha - 2023 - ir.haramaya.edu.et
Recent reports show that there are over 1.5 billion people around the globe with hearing
impairment, and here in Ethiopia, their number is estimated to be over 1.2 million. These …
impairment, and here in Ethiopia, their number is estimated to be over 1.2 million. These …