Tag: cross-modal alignment

A new research collection spanning tactile arrays, sim-to-real tactile learning, LiDAR-camera calibration, structured visual reasoning and virtual social touch shows ...

A YOLOv5-LiDAR basketball-robot system achieved 97.85% detection accuracy and high task-success rates in controlled dataset evaluations and simulations, with extreme ...

A unified neural architecture now generates English image captions and translates them into five languages in a single end-to-end model, ...

Researchers in China have developed MKMed, a cross-modal AI framework that aligns five types of drug knowledge to overcome the ...

A new survey charts the shift in language-guided video segmentation from explicitly described targets to objects that machines must reason ...

A new cross-modal AI framework called CMAC-Net aligns visual defect regions with textual semantics, improving industrial anomaly detection accuracy and ...

A new diffusion-based framework called AffectMoE uses continuous valence–arousal soft routing over emotion-specific experts to generate 3D dance movements that ...

A new framework called From Noise to Structure transforms background clutter and linguistic redundancy into structured semantic signals, achieving state-of-the-art ...

Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining ...