Results 41 to 50 of about 14,679 (231)
Swin on Axes:Extending Swin Transformers to Quadtree Image Representations [PDF]
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)In recent years, Transformer models have revolutionized machine learning. While this has resulted in impressive re-sults in the field of Natural Language Processing, Computer Vision quickly stumbled upon computation and memory problems due to the high resolution and dimensionality of the input data. This is particularly true for video, where the number
Oliu, Marc +3 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
doaj +1 more source
Design of Single-Switch Inverters for Variable Resistance/Load Modulation Operation [PDF]
, 2014 Single-Switch inverters such as the conventional Class-E inverter are often highly load sensitive, and maintain zero-voltage switching over only a narrow range of load resistances.
Al Bastami, Anas Ibrahim +3 more
core +1 more source
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
doaj +1 more source
Inspecting Explainability of Transformer Models with Additional Statistical Information
, 2023 Transformer becomes more popular in the vision domain in recent years so there is a need for finding an effective way to interpret the Transformer model by visualizing it. In recent work, Chefer et al.
Kim, Junmo, Lee, Haeil, Nguyen, Hoang C.
core
陆军军医大学学报, 2023 Objective To construct an intelligent diagnosis model for T stage of esophageal cancer based on the enhanced CT images and Swin Transformer network.
WANG Runyuan, CHEN Xingcai, WU Wei
doaj +1 more source
, 2023 Accurately predicting the destination of taxi trajectories can have various benefits for intelligent location-based services. One potential method to accomplish this prediction is by converting the taxi trajectory into a two-dimensional grid and using ...
Lei, Zhiyu +4 more
core
MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer
2024 IEEE International Symposium on Biomedical Imaging (ISBI)Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrently examine all views within a mammography exam, leveraging the inherent correlations in these views to effectively detect tumors. Acknowledging the significance of multi-view
Sarker, Sushmita +3 more
openaire +3 more sources
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Frontiers in OncologyCervical 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 +7 more
doaj +1 more source