Tag: multimodal fusion

A new study systematically tests early, late, and hybrid fusion strategies for combining image and text in AI systems that ...

Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...

Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...

Researchers in China have developed a Multimodal Transformer Attention model that jointly extracts and fuses video, audio and text features ...

A new neural network called CDGaitFusion fuses shared motion patterns with individual-specific features to recognize people by their gait despite ...

Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with ...

Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...

A new multimodal Transformer framework called MFT-Net dynamically re-weights clicks, speech, gestures, and facial expressions to recognize 18 categories of ...

A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...

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