Results 61 to 70 of about 2,105 (150)

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution

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, Gang Mei, Zhengjing Ma, Francesco Piccialli   +3 more
doaj   +1 more source

An Efficient FPGA-Based Accelerator for Swin Transformer

CoRR, 2023
Since introduced, Swin Transformer has achieved remarkable results in the field of computer vision, it has sparked the need for dedicated hardware accelerators, specifically catering to edge computing demands. For the advantages of flexibility, low power consumption, FPGAs have been widely employed to accelerate the inference of convolutional neural ...
Zhiyang Liu, Pengyu Yin, Zhenhua Ren
openaire   +3 more sources

Precise delineation of radiation targets for thoracic tumors in the immunotherapy era: from immune mechanisms to clinical practice

Precision Radiation Oncology, EarlyView.
RT‐immunotherapy synergy for thoracic tumors relies on precise target delineation to protect immune components. IFI, reduced volumes, and optimized positioning minimize damage, while multimodal imaging, DL, PBT, and FLASH‐RT enhance control. These innovations shift RT to an immune‐centric model, improving lung and esophageal cancer outcomes.
Xiaoying Chen, Minxiao Yi, Yu Deng, Qian Shen   +3 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer

Journal of Cheminformatics, 2022
Optical chemical structure recognition from scientific publications is essential for rediscovering a chemical structure. It is an extremely challenging problem, and current rule-based and deep-learning methods cannot achieve satisfactory recognition ...
Zhanpeng Xu, Jianhua Li, Zhaopeng Yang, Shiliang Li, Honglin Li   +4 more
doaj   +1 more source

Construction and evaluation of an intelligent diagnostic model based on enhanced CT images and Swin Transformer network for T staging of esophageal cancer

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

Swin-transformer for weak feature matching

Scientific Reports
Feature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor matching precision in weakly textured scenes.
Yuan Guo, Wenpeng Li, Ping Zhai
openaire   +3 more sources

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

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, Hao Gao, Hang Shao, Kun Gao, Wei Liu   +4 more
doaj   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source