Tag: computer vision

A new framework called TRRN re-indexes and filters web-retrieved images against few-shot class anchors, lifting accuracy across six benchmark settings ...

A new open access survey in Artificial Intelligence Review organises open-ended visual segmentation into three research directions and maps the ...

A scoping review of 14 studies finds that vision-based markerless tool tracking in open surgery remains dominated by simulated data ...

Researchers in Bavaria released two benchmark datasets of dusty tractor-camera images and found that the best dust removal methods are ...

Researchers report a neuro-symbolic algorithm, IDB-FOIL, that learns interpretable image-labeling rules automatically without human feedback.

A deep learning model analyzing eye positioning and video-based attention achieved over 97% accuracy in distinguishing autistic from non-autistic children ...

A new modular feeder system delivers computer-vision-triggered electric shocks to free-flying honey bees, showing a voltage-dependent deterrent response in field ...

A new YOLOv8-based algorithm called DARF improves visible-infrared object detection by enhancing shallow features and adaptively routing cross-modal information, achieving ...

Researchers report a test-time fine-tuning approach that adapts large-scale vision foundation models to segment electronic waste, cutting end-to-end processing time ...

PVFire-YOLO, a real-time detection framework with attention-enhanced multiscale fusion, reaches 87.4% mean average precision on a new photovoltaic fire dataset ...