Tag: semantic segmentation

A new taxonomy-aware segmentation framework links every diseased pixel to both its host crop and its disease, delivering state-of-the-art results ...

A deep learning analysis of Planet satellite imagery has classified the surface type and width of 9.2 million kilometers of ...

Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...

Researchers at Yunnan University have developed SFMD-Net, a DINOv3-based AI framework that fuses semantic and frequency features to detect small, ...

Researchers at the University of Malta and the University of Pittsburgh trained a modified U-Net on 95,000 synthetic microscopy images ...

Researchers at Guizhou University have developed SAGE-DQN SLAM, a deep reinforcement learning system that uses semantic scene understanding and dual ...

Researchers trained three U-Net models to segment bone ingrowth in micro-CT scaffold images and found that standard segmentation metrics can ...

Researchers have developed RL-Axial, a segmentation framework that uses reinforcement learning to decide for each image patch whether to apply ...

Researchers have unveiled a weakly supervised AI framework that segments crops, weeds and soil from image-level labels alone, achieving 76.04 ...

Researchers in China have developed NERA-Net, a framework that prevents the early loss of spatial details in few-shot semantic segmentation ...