Multimodal Domain Generalization

Latest papers

13 papers0 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation
Jul 29, 2026Xuan Feng, Guihong Liu, Tianlong Gu +5Fake News Detection Domain Generalization
1Jinan University · 2Guilin University of Electronic Technology · 3Nanyang Technological University +1
Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training
Jul 24, 2026Ali Tabaraei, Federico Simonetta, Stavros NtalampirasDepression Detection Multimodal Domain Generalization
Department of Computer Science, University of Milan, Milan, Italy · Computer Science Department, Gran Sasso Science Institute (GSSI), L’Aquila, Italy
MMDG-Bench: A Benchmark for Multimodal Domain Generalization
May 30, 2026Qianshan Zhan, Qian Wang, Da Li +2Multimodal Robustness Multimodal Domain Generalization
University of Manchester · Jiyue AI · Samsung AI Centre Cambridge +1
Cross-Modal-Domain Generalization Through Semantically Aligned Discrete Representations
May 12, 2026Souptik Sen, Raneen Younis, Zahra AhmadiMultimodal Learning Representation Learning
Peter L. Reichertz Institute for Medical Informatics, Hannover Medical School, Germany · Lower Saxony Center for AI and Causal Methods in Medicine (CAIMed), Hannover, Germany
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
May 7, 2026Hao Dong, Hongzhao Li, Shupan Li +3Multimodal Robustness Multimodal Domain Generalization
ETH Zürich · Zhengzhou University · MBZUAI +1
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
May 3, 2026Yavuz Yarici, Ghassan AlRegibMultimodal Domain Generalization Domain Generalization
1OLIVES at the Center for Signal and Information Processing CSIP, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization
Apr 18, 2026Antonios Kritikos, Nikolaos Spanos, Athanasios VoulodimosCross-Modal Learning Cross-Modal Alignment
National Technical University of Athens
Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities
Apr 9, 2026Jingtong Dou, Chuancheng Shi, Jian Wang +3Multimodal Deepfake Detection Multimodal Domain Generalization
The University of Sydney · Nanjing University of Posts and Telecommunications · National University of Singapore
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Mar 15, 2026Hongzhao Li, Guohao Shen, Shupan Li +2Multimodal Domain Generalization Domain Generalization
School of Computer and Artificial Intelligence, Zhengzhou University · Engineering Research Center of Intelligent Swarm Systems, Ministry of Education · National Supercomputing Center in Zhengzhou +2
Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
Mar 12, 2026Ayan Banerjee, Kuntal Thakur, Sandeep GuptaDomain Generalization Cross-Domain Generalization
Impact Lab, Arizona State University
Towards Generalized Multimodal Homography Estimation
Mar 4, 2026Jinkun You, Jiaxin Cheng, Jie Zhang +1Multimodal Domain Generalization Cross-Domain Generalization
Department of Computer and Information Science, University of Macau Macau, China
Reasoning-Driven Multimodal LLM for Domain Generalization
Feb 27, 2026Zhipeng Xu, Zilong Wang, Xinyang Jiang +3Domain Generalization Multimodal Domain Generalization
Xidian University · Microsoft Research Asia · National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application
Towards Multimodal Domain Generalization with Few Labels
Feb 26, 2026Hongzhao Li, Hao Dong, Hualei Wan +3Multimodal Domain Generalization Multimodal Learning
Zhengzhou University · ETH Zürich · MBZUAI

Jul 29, 2026J/K move · Enter open · S save

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation

Xuan Feng, Guihong Liu, Tianlong Gu, Shuai Zhao+4

1Jinan University · 2Guilin University of Electronic Technology · 3Nanyang Technological University+1

Fake News Detection Domain Generalization Multimodal Fusion Knowledge Distillation Multimodal Deception Detection Multimodal Domain Generalization

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Multimodal fake news detectors often generalize poorly across domains because they learn to trust unreliable evidence: domain-specific shortcuts amplified by imbalanced data and semantically inconsistent text-image pairs that make cross-modal evidence unreliable. We propose Expert-Guided Mutual Distillation (EGMD), which learns what evidence to trust across the prediction pipeline. At the input level, input-level calibration encodes pair-level coherence as a shared gain before fusion. At the representation level, an expert-guided teacher aligns domain statistics and encourages domain-specific patterns to concentrate in specialized experts. At the decision level, prototype-anchored domain-specific students use mutual learning and dual-channel distillation to inherit the teacher's feature geometry and calibrated predictions while discouraging local domain priors. We further construct Weibo_Balanced, a domain-balanced benchmark that isolates the effect of imbalance on generalization. Across four datasets in two languages, EGMD achieves state-of-the-art accuracy while reducing domain bias by up to 57.3%.