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Found 6 papers, 1 papers with code
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images.
Electromagnetic Scattering Kernel Guided Reciprocal Point Learning for SAR Open-Set Recognition
This enhances the ability to extract intrinsic non-linear features and specific scattering characteristics in SAR images, thereby improving the discriminative features of the model and mitigating the impact of imaging variations on classification performance.
OSAD: Open-Set Aircraft Detection in SAR Images
The key challenges are how to improve the generalization to potential unknown objects and reduce the empirical classification risk of known categories under strong supervision.
EMWaveNet: Physically Explainable Neural Network Based on Electromagnetic Propagation for SAR Target Recognition
Deep learning technologies have significantly improved performance in the field of synthetic aperture radar (SAR) image target recognition compared to traditional methods.
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
Rutting of asphalt pavements is a crucial design criterion in various pavement design guides.
Optimal Design of Neural Network Structure for Power System Frequency Security Constraints
Recently, frequency security is challenged by high uncertainty and low inertia in power system with high penetration of Renewable Energy Sources (RES).
