Tag: adaptive fusion

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

Researchers have developed a hybrid model that combines RoBERTa contextual embeddings with sentence-level and chunk-level graph neural networks to improve ...

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...

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