Results 21 to 30 of about 27,149 (269)

Distilled Siamese Networks for Visual Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs, which restrict their applicability to mobile devices with tight memory budgets. To address this issue, we propose a distilled Siamese tracking framework to
Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven Hoi   +5 more
openaire   +4 more sources

Energy-Efficient and High-Performance Ship Classification Strategy Based on Siamese Spiking Neural Network in Dual-Polarized SAR Images

Remote Sensing, 2023
Ship classification using the synthetic aperture radar (SAR) images has a significant role in remote sensing applications. Aiming at the problems of excessive model parameters numbers and high energy consumption in the traditional deep learning methods ...
Xinqiao Jiang, Hongtu Xie, Zheng Lu, Jun Hu   +3 more
doaj   +1 more source

Siamese network features for image matching [PDF]

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Finding matching images across large datasets plays a key role in many computer vision applications such as structure-from-motion (SfM), multi-view 3D reconstruction, image retrieval, and image-based localisation. In this paper, we propose finding matching and non-matching pairs of images by representing them with neural network based feature vectors ...
Kannala, Juho, Rahtu, Esa, Melekhov, Iaroslav   +3 more
openaire   +4 more sources

A Siamese Network-Based Method for Improving the Performance of Sleep Staging with Single-Channel EEG

Biomedicines, 2023
Sleep staging is of critical significance to the diagnosis of sleep disorders, and the electroencephalogram (EEG), which is used for monitoring brain activity, is commonly employed in sleep staging.
Yuyang You, Xiaoyu Guo, Zhihong Yang, Wenjing Shan   +3 more
doaj   +1 more source

DASTSiam: Spatio‐temporal fusion and discriminative enhancement for Siamese visual tracking

IET Computer Vision, 2023
The use of deep neural networks has revolutionised object tracking tasks, and Siamese trackers have emerged as a prominent technique for this purpose.
Yucheng Huang, Eksan Firkat, Jinlai Zhang, Lijuan Zhu, Bin Zhu, Jihong Zhu, Askar Hamdulla   +6 more
doaj   +1 more source

Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks

, 2021
This work addresses the problem of vehicle identification through non-overlapping cameras. As our main contribution, we introduce a novel dataset for vehicle identification, called Vehicle-Rear, that contains more than three hours of high-resolution ...
de Oliveira, Icaro O., Fonseca, Keiko V. O., Laroca, Rayson, Menotti, David, Minetto, Rodrigo   +4 more
core   +1 more source

A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Remote sensing image change detection (RSICD) is a technique that explores the change of surface coverage in a certain time series by studying the difference between multiple remote sensing images (RSIs) collected over the same area.
Tao Chen, Zhiyuan Lu, Yue Yang, Yuxiang Zhang, Bo Du, Antonio Plaza   +5 more
doaj   +1 more source

Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets [PDF]

, 2019
Although deep learning pathology diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, they still require a huge amount of well annotated data for training.
Belar, Oihana, Bilbao, Roberto, Cabezon, Virginia, Cicchi, Riccardo, Glover, Ben, Medela, Alfonso, Picon, Artzai, Saratxaga, Cristina L.   +7 more
core   +1 more source

A strong feature representation for siamese network tracker [PDF]

Multimedia Tools and Applications, 2020
Object tracking has important application in assistive technologies for personalized monitoring. Recent trackers choosing AlexNet as their backbone to extract features have gained great success. However, AlexNet is too shallow to form a strong feature representation, the tracker based on the Siamese network have an accuracy gap compared with state-of ...
Zhipeng Zhou, Rui Zhang, Dong Yin
openaire   +2 more sources

Siamese Networks for Semantic Pattern Similarity [PDF]

2019 IEEE 13th International Conference on Semantic Computing (ICSC), 2019
Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract semantic pattern (e.g., preposition or frame). We utilize Siamese Networks to model this task, and show its usefulness in determining SQL patterns for unseen questions in a ...
Yassine Benajiba, Jin Sun, Yong Zhang, Longquan Jiang 0002, Zhiliang Weng, Or Biran   +5 more
openaire   +2 more sources