Latest Research in Advanced Neural Network Applications
115 research papers · 2026 median publication year
Top Research Topics in Advanced Neural Network Applications
- Computer Vision and Pattern Recognition — 22 papers
- Advanced Neural Network Applications — 18 papers
- Image Enhancement Techniques — 14 papers
- Advanced SAR Imaging Techniques — 10 papers
- Image and Video Processing — 6 papers
- Water Quality Monitoring Technologies — 4 papers
- Underwater Acoustics Research — 4 papers
- Synthetic Aperture Radar (SAR) Applications and Techniques — 4 papers
- Maritime Navigation and Safety — 3 papers
- Coral and Marine Ecosystems Studies — 2 papers
Highest-Cited Papers
- SED-FOD: Scattering-Aware Expert Decomposition for Few-Shot Cross-Sensor SAR Object Detection
- Dynamic SpectraFormer for Ultra-High-Definition Underwater Image Enhancement (1 citations)
- Two-Stage Teacher-Student Reliable Prior Learning for Robust Underwater Image Enhancement
- Unsupervised structural grouping for enhancing 3D reconstruction from investigation videos of Fukushima Daiichi Nuclear Power Station
- UADet: Redefining Marine Debris Detection in Degraded Underwater Scenes with Adaptive Feature and Boundary Refinement
- Leveraging existing sparse point annotations for benthic imagery dense segmentation
- HMG-Former: a hierarchical meta-graph transformer framework for robust multi-class SAR target recognition
- BGD-Net: An Object–Background Decoupling Network for Oriented Object Detection in Complex Remote Sensing Scenes
- An interpretable hydrodynamic intelligence framework for underwater species detection using biomimetic sensing and hybrid deep learning models
- HiFi-Det: Collaborative Multi-Scale Frequency-Domain Feature Optimization for Crown-of-Thorns Starfish Detection in Complex Underwater Environments
- Tea Shoot Category Detection Based on UAV Remote Sensing
- GHGL-Net: gated hierarchical group learning with decoupled spectral-spatial dual attention for underwater image restoration
- Automatic LOFAR Line-Spectrum Extraction with Hybrid Dataset Construction and a Continuity-Aware U-Net
- Underwater Color Restoration with Vanishing Uncertainty
- LMOD-YOLO: A lightweight YOLO model for marine organism visual detection
- A Multi-Annotator Study of Segmentation Noise and Uncertainty in Turbid Underwater Images
- Multi-Dimensional Collaborative Enhancement Method for Small-Object Detection in Complex Underwater Scenarios
- Visual Autonomous Docking for Unmanned Surface Vehicles Using Lightweight Supervised Learning Framework
- SURT-DETR: Sea-Sky Line Context-Aware and Uncertainty-Guided Small Object Detection for Unmanned Surface Vehicles
- Confusing and Challenging Negative Proposals Mining for Few-Shot SAR Ship Detection Based on Uncertainty Estimation