New AI Model Spots Ships Hiding in Radar Images Despite Noise and Clutter
Researchers report that their enhanced YOLOv8n model, MFF-YOLO, improves SAR ship detection accuracy on two benchmark datasets by combining multi-scale ...
Researchers report that their enhanced YOLOv8n model, MFF-YOLO, improves SAR ship detection accuracy on two benchmark datasets by combining multi-scale ...
Researchers have developed a wavelet-transform-based pedestrian detection model that improves accuracy on crowded benchmarks while cutting parameters by nearly 40 ...
Researchers have developed S2Fusion, a local-to-global framework that improves infrared and visible image fusion through cross-modal dynamic kernels and a ...
A new end-to-end AI detector called SFM-DETR combines Mamba state space modeling with frequency-domain analysis to identify maize seedlings and ...
A new convolutional architecture called MRTFNet combines multi-resolution temporal embeddings with frequency-domain modeling to outperform Transformer-based models on most long-term ...
Researchers at Guangdong University of Technology have developed DP-MVAD, a dual-path multi-view framework that disentangles trends from perturbations and fuses ...
Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...
Researchers have developed a frequency-domain AI network that detects periodic patterns in human check-in data to predict a user's next ...
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© 2025 Scienmag - Science Magazine