3 papers
cs.CV2026
Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
Yuqiao Zeng, Xu Wang, Tengfei Liang +3
Multimodal learning integrates complementary information from different modalities such as image, text, and audio to improve model performance, but its success relies on large-scal…
cs.CV2026
WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
Xudong Yan, Songhe Feng, Jiaxin Wang +2
Compositional Zero-Shot Learning (CZSL) aims to recognize novel attribute-object compositions based on the knowledge learned from seen ones. Existing methods suffer from performanc…
cs.CV2025
Differential Contrastive Training for Gaze Estimation
Lin Zhang, Yi Tian, XiYun Wang +3
The complex application scenarios have raised critical requirements for precise and generalizable gaze estimation methods. Recently, the pre-trained CLIP has achieved remarkable pe…