Tag: computer vision

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 ...

Researchers in India have built a tri-backbone deep learning system with an intuitionistic fuzzy fusion module that classifies apple leaf ...

A new deep residual framework that uses coot bird-inspired optimization to select feature representations achieves 97.9% recognition accuracy on the ...