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Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration paper by Independent / Community
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Paper

Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration

by Independent / Community 0055529ea88e3c541e59ff4ec99e694b1df34de8
Free2AITools Nexus Index
64.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 74
P: Popularity 49
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

People with severe or substantial hearing loss find it difficult to communicate with others. Poor communication can have a significant impact on the mental health of deaf people. For individuals who are deaf or hard of hearing, sign language (SL) is the major mode of communication in their daily life. Motivated by the need to develop robust and interpretable models for the deaf community, this study presents a computer-aided diagnosis (CAD) framework for Arabic SL recognition. The interpretab...

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Semantic Scholar 7 Citations
Paper Information Summary
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Registry ID 0055529ea88e3c541e59ff4ec99e694b1df34de8
License ArXiv
Provider semantic_scholar
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Academic & Research Attribution

BibTeX 
@misc{0055529ea88e3c541e59ff4ec99e694b1df34de8,
  author = {Unknown},
  title = {Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0055529ea88e3c541e59ff4ec99e694b1df34de8}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration [Paper]. Free2AITools. https://api.semanticscholar.org/0055529ea88e3c541e59ff4ec99e694b1df34de8

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Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 74
Popularity (P) 49
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration: Authority (A:74), Popularity (P:49), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
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πŸ“ Executive Summary

"People with severe or substantial hearing loss find it difficult to communicate with others. Poor communication can have a significant impact on the mental health of deaf people. For individuals who are deaf or hard of hearing, sign language (SL) is the major mode of communication in their daily life. Motivated by the need to develop robust and interpretable models for the deaf community, this study presents a computer-aided diagnosis (CAD) framework for Arabic SL recognition. The interpretab..."

❝ Cite Node 

@article{Unknown2026Toward,
  title={Toward Robust Arabic Sign Language Recognition via Vision Transformers and Local Interpretable Model-agnostic Explanations Integration},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ7CitationsSemantic Scholar
πŸ›οΈ74AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈvision multimediaField
πŸ“¦Data Source: semantic_scholar
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source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
null
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null
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