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HPFace: a high speed and accuracy face detector
With the application of artificial intelligence technology, face detection is now not only concerned with accuracy but detection speed as well....
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FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edge
Monocular depth estimation (MDE) is critical in enabling intelligent autonomous systems and has received considerable attention in recent years....
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MRA-UNet: balancing speed and accuracy in road crack segmentation network
Road crack detection is an important step in urban road maintenance. Manual detection is both time-consuming and costly. Machine detection has...
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An Improved Mask R-CNN Algorithm for High Object Detection Speed and Accuracy
This paper aims at the problems of low gras** accuracy, low detection speed and low gras** success rate for object detection of robot gras**...
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Optical flow algorithms optimized for speed, energy and accuracy on embedded GPUs
Embedded computer vision is a hot field of research that requires trade-offs in order to balance execution time, power consumption and accuracy. In...
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Improving binary diffing speed and accuracy using community detection and locality-sensitive hashing: an empirical study
Binary diffing is a commonly used technique for detecting syntactic and semantic similarities and/or differences between two programs’ binary...
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The effect of activation functions on accuracy, convergence speed, and misclassification confidence in CNN text classification: a comprehensive exploration
Convolutional neural networks (CNNs) have become a useful tool for a wide range of applications such as text classification. However, CNNs are not...
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Micro-YOLO+: Searching Optimal Methods for Compressing Object Detection Model Based on Speed, Size, Cost, and Accuracy
Convolutional neural networks play a great role in solving the problem of object detection. However, conventional object detection models, such as...
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Research on Detection and Correction of High-Speed Train Idling and Skidding Based on Improved Fuzzy Neural Network
AbstractIn order to solve the problem of weak idling and skidding detection in high-speed train operation, an improved adaptive fuzzy neural network...
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Speed Matters, a robust infrared and visible image matching method at real-time speed
Image matching is a crucial step in executing many complex visual tasks, which involve identifying the same or similar visual patterns across various...
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High-speed train positioning based on a combination of Beidou navigation, inertial navigation and an electronic map
To date, the studies on the combination positioning of high-speed trains have made great progress, but the positioning accuracy of these methods is...
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Improving fish image detection speed with hybrid VGG16 and darknet
Fish classification and object detection are crucial tasks in the fishery industry. The use of computer vision and deep learning techniques can help...
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A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3
This paper proposes an acceleration technique to minimise the unnecessary operations on a state-of-the-art machine learning model and thus to improve...
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High-speed YOLOv4-tiny hardware accelerator for self-driving automotive
Object detection is an important area in self-driving automotive. The YOLO algorithm and its well-embedded implementation is a promising solution for...
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CAGSI: A Classification Approach towards Gait Speed Identification
The last few decades have witnessed a remarkable amount of research addressing numerous challenges in the domain of human activity recognition. One...
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Jigsaw-Sketch: a fast and accurate algorithm for finding top-k elephant flows in high-speed networks
Finding top- k elephant flows in high-speed networks is one of the most fundamental network measurement tasks. It is more challenging than per-flow...
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Efficient real-time semantic segmentation: accelerating accuracy with fast non-local attention
As an essential aspect of semantic segmentation, real-time semantic segmentation poses significant challenge in achieving trade-off between...
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Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods
In this article, we propose an accuracy-assuring technique for finding a solution for unsymmetric linear systems. Such problems are related to...
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Monocular vehicle speed detection based on improved YOLOX and DeepSORT
A monocular vehicle speed detection method based on improved YOLOX and DeepSORT is proposed for the simple scene of fixed shooting angle without high...
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Deep Learning-Based Speed Breaker Detection
Traffic operation factors include vehicle and cargo damage, environmental effects, access for emergency vehicles, transit routes, and traffic speeds...
