Results 31 to 40 of about 8,226 (198)

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

A Swin Transformer-Based Encoding Booster Integrated in U-Shaped Network for Building Extraction

Remote Sensing, 2022
Building extraction is a popular topic in remote sensing image processing. Efficient building extraction algorithms can identify and segment building areas to provide informative data for downstream tasks.
Xiao Xiao, Wenliang Guo, Rui Chen, Yilong Hui, Jianing Wang, Hongyu Zhao   +5 more
doaj   +1 more source

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 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