Results 41 to 50 of about 2,105 (150)

Evaluation and Mitigation of Faults Affecting Swin Transformers

2023 IEEE 29th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2023
In the last decade, a huge effort has been spent on assessing the reliability of Convolutional Neural networks (CNNs), probably the most popular architecture for image classification tasks. However, modern Deep Neural Networks (DNNs) are rapidly overtaking CNNs, as state-of-the-art results for many tasks are achieved with the Transformers, innovative ...
Gabriele Gavarini, Annachiara Ruospo, Ernesto Sanchez   +2 more
openaire   +3 more sources

SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction

CoRR, 2022
Packaged fresh-cut lettuce is widely consumed as a major component of vegetable salad owing to its high nutrition, freshness, and convenience. However, enzymatic browning discoloration on lettuce cut edges significantly reduces product quality and shelf life. While there are many research and breeding efforts underway to minimize browning, the progress
Dayang Wang, Boce Zhang, Yongshun Xu, Yaguang Luo, Hengyong Yu   +4 more
openaire   +2 more sources

Classification and Model Explanation of Traditional Dwellings Based on Improved Swin Transformer

Buildings
The extraction of features and classification of traditional dwellings plays significant roles in preserving and ensuring the sustainable development of these structures.
Shangbo Miao, Chenxi Zhang, Yushun Piao, Yalin Miao   +3 more
doaj   +1 more source

A wheat spike detection method based on Transformer

Frontiers in Plant Science, 2022
Wheat spike detection has important research significance for production estimation and crop field management. With the development of deep learning-based algorithms, researchers tend to solve the detection task by convolutional neural networks (CNNs ...
Qiong Zhou, Qiong Zhou, Qiong Zhou, Ziliang Huang, Ziliang Huang, Shijian Zheng, Shijian Zheng, Lin Jiao, Lin Jiao, Liusan Wang, Rujing Wang, Rujing Wang   +11 more
doaj   +1 more source

Center Point Target Detection Algorithm Based on Improved Swin Transformer [PDF]

Jisuanji kexue
Aiming at the shortcomings of Swin Transformer in extracting local feature information and expressing features,this paper proposes a center point target detection algorithm based on improved Swin Transformer to improve its performance in target detection.
LIU Jiasen, HUANG Jun
doaj   +1 more source

Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification

Frontiers in Oncology
Cervical cancer is a prevalent and concerning disease affecting women, with increasing incidence and mortality rates. Early detection plays a crucial role in improving outcomes.
Manal Abdullah Alohali, Nora El-Rashidy, Saad Alaklabi, Hela Elmannai, Saleh Alharbi, Hager Saleh, Hager Saleh, Hager Saleh   +7 more
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

HEAL-SWIN: A Vision Transformer on the Sphere

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accepted as poster to CVPR 2024. Main body: 10 pages, 7 figures.
Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson   +6 more
openaire   +3 more sources

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement

Journal of Periodontology, EarlyView.
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee, Tanjida Kabir, Alaa Alsaffar, Jiman Nelson, Sally Sheng, Hsiu‐Wan Meng, Mohammad Qali, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams   +9 more
wiley   +1 more source

MoR–Swin: Efficient Vision Transformer Using Mixture of Recursions

Journal of Imaging
Vision Transformers, especially Swin Transformer, have become default backbones for various vision tasks but suffer from high memory consumption and training costs. This letter proposes MoR–Swin, a novel architecture that integrates Mixture of Recursions
Yongbao Ai, Tianxiang Gao, Zhipeng Lin, Longqi Yang, Qingyu Chang   +4 more
doaj   +1 more source