Tag: computer vision

Peruvian researchers combined close-range drone imagery with two YOLOv8 deep learning models to detect Hass avocados and classify their ripeness ...

A new self-supervised domain adaptation framework uses monocular depth foundation models and consistency-aware learning to make stereo matching networks reliable ...

Researchers have developed TRACE, a self-supervised framework that teaches video AI models to reason about interventions and counterfactuals rather than ...

Researchers have developed a digital inpainting method that restores damaged Dunhuang murals using progressive reference guidance and sparse feature matching.

A comprehensive new review maps how deep learning can fuse social media and satellite data to make disaster response faster ...

A new scoping review of 23 studies finds that robots, smart tags and wearable cameras can help people find misplaced ...

Researchers have built a compact, turkey-specific AI embedding that outperforms a much larger generic model at telling individual birds apart ...

Researchers have developed BFA-HARF, a tracking framework that aligns visible and thermal features bidirectionally before fusing them with hybrid attention, ...

Researchers have developed AI-TEACH, a multimodal AI framework that detects and scores classroom distraction in real time with 90% accuracy ...

Researchers at SLIET Longowal have developed a hybrid AI framework that combines YOLOv8 semantic segmentation with NeuS neural surface reconstruction ...