Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection
Several deep learning algorithms have shown amazing performance for existing object
detection tasks, but recognizing darker objects is the largest challenge. Moreover, those …
detection tasks, but recognizing darker objects is the largest challenge. Moreover, those …
[图书][B] Computational methods for deep learning: theory, algorithms, and implementations
WQ Yan - 2023 - books.google.com
The first edition of this textbook was published in 2021. Over the past two years, we have
invested in enhancing all aspects of deep learning methods to ensure the book is …
invested in enhancing all aspects of deep learning methods to ensure the book is …
Vehicle-related scene understanding using deep learning
Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …
achievements in the matter of artificial intelligence. Deep learning produces a significant …
Real-time sign language recognition based on YOLO algorithm
This study focuses on real-time hand gesture recognition in the Turkish sign language
detection system. YOLOv4-CSP based on convolutional neural network (CNN), a state-of …
detection system. YOLOv4-CSP based on convolutional neural network (CNN), a state-of …
A signer-independent sign language recognition method for the single-frequency dataset
T Liu, T Tao, Y Zhao, M Li, J Zhu - Neurocomputing, 2024 - Elsevier
Currently, there are over 70 million people worldwide using more than 300 sign languages
for communication, resulting in a vast number of sign language categories. Sign language …
for communication, resulting in a vast number of sign language categories. Sign language …
[HTML][HTML] Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review
A Alayed - Sensors (Basel, Switzerland), 2024 - pmc.ncbi.nlm.nih.gov
Sign language (SL) is a means of communication that is used to bridge the gap between the
deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf …
deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf …
A two-stream sign language recognition network based on keyframe extraction method
T Liu, T Tao, Y Zhao, J Zhu - Expert Systems with Applications, 2024 - Elsevier
Sign language recognition (SLR) tasks are typically performed on a large number of
continuous frames of sign language videos, making it challenging to utilize information …
continuous frames of sign language videos, making it challenging to utilize information …
Multiscale Kiwifruit detection from digital images
In this paper, we propose an improved YOLOv8-based Kiwifruit detection method using
Swin Transformer, aiming to address challenges posed by significant scale variation and …
Swin Transformer, aiming to address challenges posed by significant scale variation and …
[HTML][HTML] Prediction of Currency Exchange Rate Based on Transformers
L Zhao, WQ Yan - Journal of Risk and Financial Management, 2024 - mdpi.com
The currency exchange rate is a crucial link between all countries related to economic and
trade activities. With increasing volatility, exchange rate fluctuations have become frequent …
trade activities. With increasing volatility, exchange rate fluctuations have become frequent …
Enhancing Indian sign language recognition through data augmentation and visual transformer
This paper introduces a novel approach to Indian Sign Language Recognition (ISLR) by
integrating Keras, Visual Transformers (ViT), and sophisticated data augmentation …
integrating Keras, Visual Transformers (ViT), and sophisticated data augmentation …