Tag: multimodal learning

A multimodal AI model called ERF-BA-TFD+ detects and localizes audio-visual deepfakes by cross-reconstructing audio and video features and reasoning over ...

A new adversarial training method called MI-MKGC dynamically balances text, image, and structural information to predict missing facts in multimodal ...

Researchers have developed SAGMR, a graph-learning recommender that explicitly models artistic style to improve digital media art suggestions, with the ...

Researchers in Qinghai have developed MHCNet, a hypergraph-based multimodal AI that classifies Tibetan medicinal plants with 98.11 percent accuracy by ...

Researchers have built a geometry problem solver that turns diagrams into heterogeneous graphs and aligns them with text, outperforming existing ...

Researchers have developed OphthUS-GPT, a multimodal AI system that automatically generates and interprets diagnostic reports from ophthalmic B-scan ultrasound images ...

A comprehensive new survey documents how reinforcement learning has become a foundational tool for aligning image, video, and 3D generative ...

In a development that could reshape how machine learning systems handle the messy, heterogeneous data of the real world, researchers ...