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This model is a **hierarchical two-stream transformer** designed for real-time **Indian Sign Language (ISL)** recognition. It utilizes a novel gating architecture to decompose the classification problem into semantic groups, improving both accuracy and inference speed. The system integrates computer vision (MediaPipe) with deep learning (PyTorch) to process both visual frames and pose landmarks simultaneously.
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- **Developed by:**
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- **Model type:** Hierarchical Two-Stream Transformer (Visual + Pose)
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- **Language(s) (NLP):** English (Output), Hindi/Regional (Translation)
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- **License:**
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- **Resources for more information:**
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- [GitHub Repository](https://github.com/Abs6187/DynamicIndianSignLanguageDetection)
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### Model Sources
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- **Repository:** https://github.com/Abs6187/DynamicIndianSignLanguageDetection
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- **Demo:** [Link to demo if applicable]
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## Uses
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This model is a **hierarchical two-stream transformer** designed for real-time **Indian Sign Language (ISL)** recognition. It utilizes a novel gating architecture to decompose the classification problem into semantic groups, improving both accuracy and inference speed. The system integrates computer vision (MediaPipe) with deep learning (PyTorch) to process both visual frames and pose landmarks simultaneously.
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- **Developed by:** Abhay Gupta
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- **Model type:** Hierarchical Two-Stream Transformer (Visual + Pose)
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- **Language(s) (NLP):** English (Output), Hindi/Regional (Translation)
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- **License:** mit
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- **Resources for more information:**
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- [GitHub Repository](https://github.com/Abs6187/DynamicIndianSignLanguageDetection)
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### Model Sources
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- **Repository:** https://github.com/Abs6187/DynamicIndianSignLanguageDetection
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## Uses
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