Results 81 to 90 of about 7,104 (161)

Swin Transformer With Spatial and Local Context Augmentation for Enhanced Semantic Segmentation of Remote Sensing Images

IEEE Open Journal of Signal Processing
Semantic segmentation of remote sensing images is extensively used in crop cover and type analysis, and environmental monitoring. In the semantic segmentation of remote sensing images, owning to the specificity of remote sensing images, not only the ...
Rong-Xing Ding, Yi-Han Xu, Gang Yu, Wen Zhou, Ding Zhou   +4 more
doaj   +1 more source

Transformer face recognition method based on multi-level feature fusion

四川大学学报. 自然科学版
The convolutional operation in a convolutional neural network only captures local information, whereas the Transformer retains more spatial information and can create long-range connections of images. In the application of vision field, Transformer lacks
XIA Gui-Shu, ZHU Zi-Han, WEI Yong-Chao, ZHU Hong-Chao, XU Wei-Qi   +4 more
doaj  

Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model

IEEE Access
Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective opinions, errors, and laborious procedures frequently limit traditional approaches, which are based ...
Waqar Khalid, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid   +3 more
doaj   +1 more source

Architectural Scalability and Attention Stabilization for Robust Impulsive Acoustic Spectrogram Classification Using Swin Transformer V2

IEEE Access
Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj   +1 more source

Attention-Guided Swin Transformer for Retinal Disease Classification in Fundus Images Using Self-Distillation Mechanism

ITEGAM-JETIA
Organizing systems which detect retinal diseases in fundus images face difficulties because of the existence of minute visual details alongside overlapping medical patterns.
S. Saranya, Pr. Buvaneswari, P. Kavipriya, J. Velumani, Helina Rajini Suresh, U. Harita   +5 more
doaj   +1 more source

Swin Transformer Fusion Network for Image Quality Assessment

IEEE Access
This paper presents an efficient deep-learning model named Swin Transformer fusion network (STFN) for full-reference image quality assessment (FR-IQA). The STFN model uses the first and second stages of the Swin Transformer for feature extraction.
Hyeongmyeon Kim, Changhoon Yim
doaj   +1 more source

A novel object detection algorithm based on Swin Transformer. [PDF]

Sci Rep
Qian Y, Zhang Z, Wang B, Wu W.
europepmc   +1 more source

A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]

Sensors (Basel)
Lai X, Zhang X, Xie Z, Liu M.
europepmc   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source

Editorial Note: Small object detection algorithm incorporating swin transformer for tea buds. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source