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A Neural Pairwise Ranking Model for Readability Assessment ...
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning ...
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Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
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Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
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Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Modeling Intensification for Sign Language Generation: A Computational Approach ...
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A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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Open Source HamNoSys Parser for Multilingual Sign Language Encoding ...
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A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ...
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Abstract:
A machine can understand human activities, and the meaning of signs can help overcome the communication barriers between the inaudible and ordinary people. Sign Language Recognition (SLR) is a fascinating research area and a crucial task concerning computer vision and pattern recognition. Recently, SLR usage has increased in many applications, but the environment, background image resolution, modalities, and datasets affect the performance a lot. Many researchers have been striving to carry out generic real-time SLR models. This review paper facilitates a comprehensive overview of SLR and discusses the needs, challenges, and problems associated with SLR. We study related works about manual and non-manual, various modalities, and datasets. Research progress and existing state-of-the-art SLR models over the past decade have been reviewed. Finally, we find the research gap and limitations in this domain and suggest future directions. This review paper will be helpful for readers and researchers to get complete ... : communicated to the Computer Science Review (Elsevier) status With Editor ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.03328 https://arxiv.org/abs/2204.03328
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Sign Language Video Retrieval with Free-Form Textual Queries ...
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Sign Language Recognition System using TensorFlow Object Detection API ...
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pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training ...
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Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
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Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
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Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ...
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