Results 21 to 30 of about 8,876 (216)
Multi-Focus Microscopy Image Fusion Based on Swin Transformer Architecture
Applied Sciences, 2023 In this study, we introduce the U-Swin fusion model, an effective and efficient transformer-based architecture designed for the fusion of multi-focus microscope images.
Han Hank Xia +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Easy and efficient acquisition of high-resolution remote sensing images is of importance in geographic information systems. Previously, deep neural networks composed of convolutional layers have achieved impressive progress in super-resolution ...
Jingzhi Tu +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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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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Swin-FER: Swin Transformer for Facial Expression Recognition
Applied SciencesThe ability of transformers to capture global context information is highly beneficial for recognizing subtle differences in facial expressions. However, compared to convolutional neural networks, transformers require the computation of dependencies between each element and all other elements, leading to high computational complexity. Additionally, the
Mei Bie +4 more
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Residual swin transformer for classifying the types of cotton pests in complex background [PDF]
Frontiers in Plant ScienceBackgroundCotton pests have a major impact on cotton quality and yield during cotton production and cultivation. With the rapid development of agricultural intelligence, the accurate classification of cotton pests is a key factor in realizing the precise
Ting Zhang +9 more
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Transformer-based ripeness segmentation for tomatoes
Smart Agricultural Technology, 2023 With the recent development of computer vision technology, various computer vision techniques have been applied to agriculture. Recently, the Transformer network has been introduced to image recognition, which allows a different approach to extracting ...
Risa Shinoda +3 more
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Entropy, 2022 Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images. However, restricted by the fixed receptive field of convolution operation, convolution-based models cannot directly obtain ...
Yufen Xu, Shangbo Zhou, Yuhui Huang
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A Swin transformer and MLP based method for identifying cherry ripeness and decay
Frontiers in Physics, 2023 Cherries are a nutritionally beneficial and economically significant crop, with fruit ripeness and decay (rot or rupture) being critical indicators in the cherry sorting process.
Ke Song, Jiwen Yang, Guohui Wang
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Gaze Estimation Based on Convolutional Structure and Sliding Window-Based Attention Mechanism
Sensors, 2023 The direction of human gaze is an important indicator of human behavior, reflecting the level of attention and cognitive state towards various visual stimuli in the environment.
Yujie Li +4 more
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