Open-vocabulary object detection aims to detect both seen and unseen categories by leveraging the semantic knowledge of vision-language models. However, existing methods often struggle with small objects due to insufficient preservation of high-resolution details, ineffective information aggregation across feature leve...
Han-Lin Kou, Bei-Qi Bai, Li Chen et al.· 0 citations
MMDG-Bench is introduced, the first unified and comprehensive benchmark for MMDG, which standardizes evaluation across six datasets spanning three diverse tasks: action recognition, mechanical fault diagnosis, and sentiment analysis.
Hao Dong, Hong-Zhao Li, Shu-Pan Li et al.· arXiv.org· 0 citations
Adaptive Dual-Objective Feature Learning for Multimodal Domain Generalization (ADMMDG), a framework that separates feature learning into two complementary components: features that capture shared patterns with both modality and domain invariance, and modality specific features that preserve the unique characteristics o...
Hongzhao Li, Siwei Liu, Guohao Shen et al.· International Journal of Com...· 0 citations
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