4 papers
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
Hao Dong, Hongzhao Li, Shupan Li +3
Despite the growing popularity of Multimodal Domain Generalization (MMDG) for enhancing model robustness, it remains unclear whether reported performance gains reflect genuine algo…
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Hongzhao Li, Guohao Shen, Shupan Li +2
Multimodal Domain Generalization (MMDG) leverages the complementary strengths of multiple modalities to enhance model generalization on unseen domains. A central challenge in multi…
Towards Multimodal Domain Generalization with Few Labels
Hongzhao Li, Hao Dong, Hualei Wan +3
Multimodal models ideally should generalize to unseen domains while remaining data-efficient to reduce annotation costs. To this end, we introduce and study a new problem, Semi-Sup…
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu, Xuguang Song, Hichem Sahbi +5
Deep learning is currently reaching outstanding performances on different tasks, including image classification, especially when using large neural networks. The success of these m…