New AI Framework Recovers Lost Image Details to Sharpen Few-Shot Segmentation
Researchers in China have developed NERA-Net, a framework that prevents the early loss of spatial details in few-shot semantic segmentation ...
Researchers in China have developed NERA-Net, a framework that prevents the early loss of spatial details in few-shot semantic segmentation ...
A systematic review of 159 studies shows that deep learning has transformed the monitoring of endangered wildlife, from species recognition ...
Researchers combined aerial image segmentation and camera-based object detection to build the first corridor-wide, AI-driven indicators of parking supply and ...
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
Researchers have unveiled ANNE, a compact segmentation network that pairs Mamba state-space modeling with adaptive polynomial neuron expansion to match ...
Researchers in Sardinia have built the first field dataset of grapevine hopperburn symptoms and shown that deep learning detectors reliably ...
A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...
The first comprehensive survey of document shadow removal catalogs nine datasets and 41 studies, mapping the field's evolution from physics-based ...
Researchers in Japan have developed a GPU-accelerated path-tracing simulator that generates realistic event camera data up to three times faster ...
Researchers have developed a personalized N-of-1 transformer framework that learns an individual's daily behavior patterns from smart home activity logs ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine