Results 41 to 50 of about 7,104 (161)
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
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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
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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
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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
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Center Point Target Detection Algorithm Based on Improved Swin Transformer [PDF]
Jisuanji kexueAiming 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
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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
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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 +4 more
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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
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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 +6 more
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Deep Reinforcement Learning with Swin Transformers
Proceedings of the 2024 8th International Conference on Digital Signal ProcessingTransformers are neural network models that utilize multiple layers of self-attention heads and have exhibited enormous potential in natural language processing tasks. Meanwhile, there have been efforts to adapt transformers to visual tasks of machine learning, including Vision Transformers and Swin Transformers.
Li Meng +3 more
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