Correlation filter based single object tracking: A review
In recent years, correlation filter-based (CF) tracking algorithms have gained momentum in
the field of visual tracking. CF tracking algorithms have achieved compelling performance by …
the field of visual tracking. CF tracking algorithms have achieved compelling performance by …
Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID‐19 Identification in Chest X‐Ray Images
COVID‐19 is a new disease, caused by the novel coronavirus SARS‐CoV‐2, that was firstly
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
An overview of correlation-filter-based object tracking
In the last two decades, object tracking has been one of the prevalent fields in social media.
Object tracking uses a dynamic model to track the same target, aiming to analyze the same …
Object tracking uses a dynamic model to track the same target, aiming to analyze the same …
Siamese residual network for efficient visual tracking
The Siamese tracking framework has attracted much attention due to its scalability and
efficiency in recent years. However, it is less effective in recognizing arbitrary targets with …
efficiency in recent years. However, it is less effective in recognizing arbitrary targets with …
PTB-TIR: A thermal infrared pedestrian tracking benchmark
Thermal infrared (TIR) pedestrian tracking is one of the important components among
numerous applications of computer vision, which has a major advantage: it can track …
numerous applications of computer vision, which has a major advantage: it can track …
Visual object tracking with adaptive structural convolutional network
Abstract Convolutional Neural Networks (CNN) have been demonstrated to achieve state-of-
the-art performance in visual object tracking task. However, existing CNN-based trackers …
the-art performance in visual object tracking task. However, existing CNN-based trackers …
Learning target-focusing convolutional regression model for visual object tracking
Discriminative correlation filters (DCFs) have been widely used in the tracking community
recently. DCFs-based trackers utilize samples generated by circularly shifting from an image …
recently. DCFs-based trackers utilize samples generated by circularly shifting from an image …
Dilated residual attention network for load disaggregation
Load disaggregation technology is a key technology to realize real-time nonintrusive load
monitoring (NILM), and deep learning method has shown great promise for NILM. However …
monitoring (NILM), and deep learning method has shown great promise for NILM. However …
Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm
S Sakthipriya, R Naresh - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Precision Agriculture technology can use high-tech sensors and analytical tools to help
farmers better manage their crop yields, allowing them to demonstrate their techniques on …
farmers better manage their crop yields, allowing them to demonstrate their techniques on …
An image steganography scheme based on ResNet
L Liu, L Meng, X Wang, Y Peng - Multimedia Tools and Applications, 2022 - Springer
In recent years, deep learning has been used in steganography scheme, and the
implemented solution had a large hidden capacity. In order to further study the effect of basic …
implemented solution had a large hidden capacity. In order to further study the effect of basic …