CLIP-BCA-Gated: A Dynamic Multimodal Framework for Real-Time Humanitarian Crisis Classification with Bi-Cross-Attention and Adaptive Gating

CLIP-BCA-Gated: A Dynamic Multimodal Framework for Real-Time Humanitarian Crisis Classification with Bi-Cross-Attention and Adaptive Gating

During humanitarian crises, social media generates over 30 million multimodal tweets daily, but 20% textual noise, 40% cross-modal misalignment, and severe class imbalance (4.1% rare classes) hinder effective classification. This study presents CLIP-BCA-Gated, a dynamic multimodal framework that int...

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Bibliographic Details
Main Authors: Shanshan Li, Qingjie Liu, Zhian Pan, Xucheng Wu
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Applied Sciences
Subjects:
humanitarian crisis classification
contrastive learning
bidirectional cross-attention
adaptive gating
multimodal fusion
cross-modal alignment
Online Access:https://www.mdpi.com/2076-3417/15/15/8758
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