Work

Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification

Year: 2025

Type: article

Source: IEEE Transactions on Circuits and Systems for Video Technology

DOI: 10.1109/tcsvt.2025.3537759

Authors: Tengfei Liu, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin

Institutions: Beijing University of Technology, Stanford Medicine, Stanford University, Hunan University, University of Technology Sydney, The University of Sydney

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Key Research and Development Program of Heilongjiang, National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1032458289, G4394847914, G6212863906, G8638362840, G8929940274

OpenAlex ID: W4407097703

FWCI: 0.365

Cites: 54

Cited by: 1

Related to: 10