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Signdetectnet: A Lightweight Sign Language Detection Model with a New Benchmark Dataset for Indian Sign Gestures in Real-World Scenes

https://doi.org/10.2139/ssrn.5389831
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Using YOLOv5 Algorithm to Detect and Recognize American Sign Language
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Detection and Recognition of Hand Gestures for Indian Sign Language Recognition System
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Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques
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Focal Loss for Dense Object Detection
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Multi-level Taxonomy Review for Sign Language Recognition: Emphasis on Indian Sign Language
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Voice to Indian Sign Language Conversion for Hearing Impaired People
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Performance Analysis of the Yolov5 Algorithm for American Sign Language Detection
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Improved YOLOv5: Efficient Object Detection Using Drone Images under Various Conditions
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Gesture Detection and Recognition Based on Object Detection in Complex Background
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Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs
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American Sign Language Recognition using YOLOv4 Method
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ADDSL: Hand Gesture Detection and Sign Language Recognition on Annotated Danish Sign Language
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