DFENet: A Novel Dual-Path Feature Extraction Network for Semantic Segmentation of Remote Sensing Images [0.03%]
一种新颖的双路径特征提取网络用于遥感图像语义分割问题
Li Cao,Zishang Liu,Yan Wang et al.
Li Cao et al.
Semantic segmentation of remote sensing images (RSIs) is a fundamental task in geoscience research. However, designing efficient feature fusion modules remains challenging for existing dual-branch or multi-branch architectures. Furthermore,...
Real-Time Small UAV Detection in Complex Airspace Using YOLOv11 with Residual Attention and High-Resolution Feature Enhancement [0.03%]
基于残差注意力和高分辨率特征增强的YOLOv11复杂空域实时小规模无人机检测
Chuang Han,Md Redwan Ullah,Amrul Kayes et al.
Chuang Han et al.
Detecting small unmanned aerial vehicles (UAVs) in complex airspace presents significant challenges due to their minimal pixel footprint, resemblance to birds, and frequent occlusion. To address these issues, we propose YOLOv11-ResCBAM, a n...
Optimized Reinforcement Learning-Driven Model for Remote Sensing Change Detection [0.03%]
一种优化的增强学习遥感变化检测模型方法研究
Yan Zhao,Zhiyun Xiao,Tengfei Bao et al.
Yan Zhao et al.
In recent years, deep learning has driven remarkable progress in remote sensing change detection (CD); however, practical deployment is still hindered by two limitations. First, CD results are easily degraded by imaging-induced uncertaintie...
Current Trends and Future Prospects of Radiomics and Machine Learning (ML) Models in Spinal Tumors-A Narrative Review [0.03%]
放射组学和机器学习（ML）模型在脊柱肿瘤中的当前趋势及未来展望-综述性研究
Vivek Sanker,Suhrud Panchawgh,Anmol Kaur et al.
Vivek Sanker et al.
The intersection between radiomics, the computational analysis of imaging data, and machine learning (ML) may lead to new developments in the diagnosis, prognosis, and management of diseases. For spinal tumors specifically, applications of ...
Efficient Two-Stage Autofocus for Micro-Assembly Based on Joint Spatial-Frequency Image Quality Assessment [0.03%]
基于联合时空图像质量评估的微组装高效两阶段自动对焦方法
Jianpeng Zhang,Tianbo Kang,Xin Zhao et al.
Jianpeng Zhang et al.
Reliable autofocus is a fundamental prerequisite for precise positioning in micro-assembly systems, where complex reflections, scale variations, and narrow depth-of-field often degrade the robustness of traditional sharpness metrics. To add...
Machine Learning-Assisted Classification of Pathogenic Yeasts Using Laser Light Scattering and Conventional Microscopy [0.03%]
基于激光散射和常规显微镜的机器学习辅助病原性酵母分类
Xiaoxuan Liu,Shamanth Shankarnarayan,Zexi Cheng et al.
Xiaoxuan Liu et al.
Yeast infections are a major concern in clinical settings, and several known species are recognized for their antifungal drug resistance, especially the multidrug-resistant pathogen Candidozyma auris. It is of increasing importance to ident...
External Validation of an Open-Source Model for Automated Muscle Segmentation in CT Imaging of Cancer Patients [0.03%]
癌症患者CT影像自动肌肉分割开源模型的外部验证
Hendrik Erenstein,Jona Van den Broeck,Annemieke van der Heij-Meijer et al.
Hendrik Erenstein et al.
Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 musc...
Real-Time Endoscopic Video Enhancement via Degradation Representation Estimation and Propagation [0.03%]
基于退化表征估计与传播的内镜视频实时增强技术
Handing Xu,Zhenguo Nie,Tairan Peng et al.
Handing Xu et al.
Endoscopic images are often degraded by uneven illumination, motion blur, and tissue occlusion, which obscure critical anatomical details and complicate surgical manipulation. This issue is particularly pronounced in single-port endoscopic ...
ArtUnmasked: A Multimodal Classifier for Real, AI, and Imitated Artworks [0.03%]
去伪存真：一个同时判别真实、AI和仿制画作的多模态分类器
Akshad Chidrawar,Garima Bajwa
Akshad Chidrawar
Differentiating AI-generated, real, or imitated artworks is becoming a tedious and computationally challenging problem in digital art analysis. AI-generated art has become nearly indistinguishable from human-made works, posing a significant...
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps [0.03%]
基于边界框的扩散方法用于合成工业图像及语义分割地图
Emanuele Caruso,Francesco Pelosin,Alessandro Simoni et al.
Emanuele Caruso et al.
Synthetic dataset generation in Computer Vision, particularly for industrial applications, is still underexplored. Industrial defect segmentation, for instance, requires highly accurate labels, yet acquiring such data is costly and time-con...