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View article: RMTDepth: Retentive Vision Transformer for Enhanced Self-Supervised Monocular Depth Estimation from Oblique UAV Videos
RMTDepth: Retentive Vision Transformer for Enhanced Self-Supervised Monocular Depth Estimation from Oblique UAV Videos Open
Self-supervised monocular depth estimation from oblique UAV videos is crucial for enabling autonomous navigation and large-scale mapping. However, existing self-supervised monocular depth estimation methods face key challenges in UAV obliq…
View article: Multi-input neural channel waveform model for optical fiber WDM transmission based on Volterra series transfer function
Multi-input neural channel waveform model for optical fiber WDM transmission based on Volterra series transfer function Open
Accurate waveform modeling of optical fiber channels is essential for the design, optimization, and management of wavelength-division multiplexing (WDM) systems in optical communication networks. To address the computational inefficiencies…
View article: FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery
FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery Open
Accurate and efficient cloud detection is critical for maintaining the usability of optical remote sensing imagery, particularly in large-scale Earth observation systems. In this study, we propose FEMNet, a lightweight dual-branch network …
View article: Bi-temporal Gaussian feature dependency guided change detection in remote sensing images
Bi-temporal Gaussian feature dependency guided change detection in remote sensing images Open
Change detection (CD) enables the identification of alterations between images of the same area captured at different times. However, existing CD methods still struggle to mitigate pseudo-changes resulting from domain information differenc…
View article: Effects of Endosymbionts on the Nutritional Physiology and Biological Characteristics of Whitefly Bemisia tabaci
Effects of Endosymbionts on the Nutritional Physiology and Biological Characteristics of Whitefly Bemisia tabaci Open
Insects and their endosymbionts have a close mutualistic relationship. However, the precise nature of the bacterial endosymbiont-mediated interaction between host plants and whitefly Bemisia tabaci MEAM1 is still unclear. In the present st…
View article: Clinical practice and research on the psychological cognitive ability under the IKAP model in postoperative flap healing and psychological influencing factors in breast cancer
Clinical practice and research on the psychological cognitive ability under the IKAP model in postoperative flap healing and psychological influencing factors in breast cancer Open
Objective: To investigate the impact of psychological cognitive ability on flap healing and psychological factors in postoperative breast cancer (BC) individuals under the Information-Knowledge-Attitude-Practice (IKAP) model. Methods: A to…
View article: Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Open
Recently, there have been significant improvements in the accuracy of CNN models for semantic segmentation. However, these models are often heavy and suffer from low inference speed, which limits their practical application. To address thi…
View article: Harmonizing and Merging Source Models for CLIP-based Domain Generalization
Harmonizing and Merging Source Models for CLIP-based Domain Generalization Open
CLIP-based domain generalization aims to improve model generalization to unseen domains by leveraging the powerful zero-shot classification capabilities of CLIP and multiple source datasets. Existing methods typically train a single model …
View article: Investigation on Hole Quality and Tool Wear of <scp>CFRP</scp> Drilling With Cryogenic‐Minimal Quantity Lubrication
Investigation on Hole Quality and Tool Wear of <span>CFRP</span> Drilling With Cryogenic‐Minimal Quantity Lubrication Open
Carbon fiber reinforced polymer (CFRP) is extensively utilized in various fields, including aerospace and automotive industries, where drilling serves as a common method for mechanical assembly. However, the inherent anisotropy and inhomog…
View article: Alpha and Kappa angle on postoperative visual quality in cataract surgery
Alpha and Kappa angle on postoperative visual quality in cataract surgery Open
AIM: To explore the effect of Alpha angle and Kappa angle before multifocal intraocular lenses (MIOLs) implantation on postoperative visual quality of patients. METHODS: Before and 3mo after cataract surgery, Alpha angle and Kappa angle we…
View article: Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach
Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach Open
Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. However, such frame-based methods inherently face challenges …
View article: PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching
PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching Open
The ideal goal of image matching is to achieve stable and efficient performance in unseen domains. However, many existing learning-based optical-SAR image matching methods, despite their effectiveness in specific scenarios, exhibit limited…
View article: Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study
Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study Open
Introduction The primary aim of this study is to investigate and predict the prevalence and determinants of tuberculosis disease burden in China. Leveraging high-quality data sources and employing a methodologically rigorous approach, the …
View article: Multi-level domain perturbation for source-free object detection in remote sensing images
Multi-level domain perturbation for source-free object detection in remote sensing images Open
Recent advancements in cross-domain object detection have primarily relied on unsupervised domain adaptation (UDA) techniques to bridge domain gaps in remote sensing images. However, traditional UDA approaches require access to source doma…
View article: Direction of Arrival Joint Prediction of Underwater Acoustic Communication Signals Using Faster R-CNN and Frequency–Azimuth Spectrum
Direction of Arrival Joint Prediction of Underwater Acoustic Communication Signals Using Faster R-CNN and Frequency–Azimuth Spectrum Open
Utilizing hydrophone arrays for detecting underwater acoustic communication (UWAC) signals leverages spatial information to enhance detection efficiency and expand the perceptual range. This study redefines the task of UWAC signal detectio…
View article: Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization Open
The emergence of Large Language Models (LLMs) has necessitated the adoption of distributed training techniques, involving the deployment of thousands of GPUs to train a single model. Unfortunately, the efficiency of large-scale distributed…
View article: Comment on egusphere-2024-974
Comment on egusphere-2024-974 Open
Abstract. Anthropogenic and biomass burning emissions are the major sources of ambient air pollution. India has experienced a dramatic deterioration in air quality over the past few decades, but no systematic assessment has been made to in…
View article: Performance evaluation and future prospects of capsule robot localization technology
Performance evaluation and future prospects of capsule robot localization technology Open
Capsule Robot Endoscope (CRE), as one of the widely used methods of gastrointestinal medical examination, has the characteristics of painless, non-cross infection, and no movement restriction, compared with other traditional endoscopes. To…
View article: Outlier Detection by Energy Minimization in Quantized Residual Preference Space for Geometric Model Fitting
Outlier Detection by Energy Minimization in Quantized Residual Preference Space for Geometric Model Fitting Open
Outliers significantly impact the accuracy of geometric model fitting. Previous approaches to handling outliers have involved threshold selection and scale estimation. However, many scale estimators assume that the inlier distribution foll…
View article: Outlier Detection by Energy Minimization in Quantized Residual Preference Space for Geometric Model Fitting
Outlier Detection by Energy Minimization in Quantized Residual Preference Space for Geometric Model Fitting Open
Outliers seriously affect the accuracy in geometric model fitting. Previous works in coping with outliers involve threshold selection and scale estimation. However most scale estimators suppose the inlier distribution as a Gaussian model, …
View article: Naked-Eye 3-Dimensional Vision Training for Myopia Control
Naked-Eye 3-Dimensional Vision Training for Myopia Control Open
Importance Early onset of myopia increases the risk of high myopia, which can lead to irreversible retinal damage and even loss of central vision. Objective To investigate the efficacy and safety of naked-eye 3-dimensional vision training …
View article: GA-Net: Accurate and Efficient Object Detection on UAV Images Based on Grid Activations
GA-Net: Accurate and Efficient Object Detection on UAV Images Based on Grid Activations Open
Object detection plays a crucial role in unmanned aerial vehicle (UAV) missions, where captured objects are often small and require high-resolution processing. However, this requirement is always in conflict with limited computing resource…
View article: Characteristics Analysis of CO<sub>2</sub> Concentrations and Temperature in Residential Buildings in Severe Cold Area Based on Field Measurement
Characteristics Analysis of CO<sub>2</sub> Concentrations and Temperature in Residential Buildings in Severe Cold Area Based on Field Measurement Open
This paper provides references for the design and control of high-quality green building indoor environments during the transitional season in severe cold area. A residential building in severe cold area was selected as the research subjec…
View article: Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning Open
Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pursue unified frameworks to tackle this challenge but mostly …