Tag: computer vision

Researchers at Hohai University have developed ShuffleNet-MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect ...

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...

Researchers have developed AttentiveGaze, a real-time multimodal AI framework that fuses face, eye, and head pose cues with attention mechanisms ...

Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered ...

A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...

Oregon State University researchers have built an AI-enabled smart compost bin that automatically weighs, images, and labels household food waste ...

Researchers have developed a style-aware attention transformer that recognizes fine-grained interior design styles by focusing on textures, materials, and color ...

Researchers have built an end-to-end deep learning framework that combines 3D hand pose estimation with hand action recognition from egocentric ...

Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...

Researchers at Yonsei University have developed a prompt-tuning method that lets the vision-language model CLIP detect and localize industrial defects ...