Results 41 to 50 of about 206,029 (232)
Swin–MRDB: Pan-Sharpening Model Based on the Swin Transformer and Multi-Scale CNN
Applied Sciences, 2023 Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs
Zifan Rong +3 more
doaj +1 more source
GIScience & Remote Sensing, 2023 Automatic surface water body mapping using remote sensing technology is greatly meaningful for studying inland water dynamics at regional to global scales.
Donghui Ma +3 more
doaj +1 more source
Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection [PDF]
, 2022 In this research, an integrated detection model, Swin-transformer-YOLOv5 or Swin-T-YOLOv5, was proposed for real-time wine grape bunch detection to inherit the advantages from both YOLOv5 and Swin-transformer.
Lu, Shenglian +11 more
core +1 more source
Comparative analysis of transformer architectures for brain tumor classification [PDF]
Exploration of MedicineAim: Early and accurate diagnosis of brain tumors is critical for treatment success, but manual magnetic resonance imaging (MRI) interpretation has limitations.
Yigitcan Cakmak, Ishak Pacal
doaj +1 more source
Swin-APT: An Enhancing Swin-Transformer Adaptor for Intelligent Transportation
Applied Sciences, 2023 Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT includes a lightweight network and a multiscale adapter network designed for image semantic segmentation
Yunzhuo Liu +4 more
openaire +2 more sources
Enhancing medical image segmentation with a multi-transformer U-Net [PDF]
PeerJVarious segmentation networks based on Swin Transformer have shown promise in medical segmentation tasks. Nonetheless, challenges such as lower accuracy and slower training convergence have persisted. To tackle these issues, we introduce a novel approach
Yongping Dan +3 more
doaj +2 more sources
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 +2 more
openaire +3 more sources
Classification and Model Explanation of Traditional Dwellings Based on Improved Swin Transformer
BuildingsThe extraction of features and classification of traditional dwellings plays significant roles in preserving and ensuring the sustainable development of these structures.
Shangbo 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 +11 more
doaj +1 more source
Swin-transformer block (ST-B).
, 2023 The health of the trees in the forest affects the ecological environment, so timely detection of Standing Dead Trees (SDTs) plays an important role in forest management.
Siyu Han (4614106) +5 more
core +1 more source