Author

Heng Fan

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Preprint Sep 2026

Exploiting Target Knowledge from MLLMs for Robust Few-Shot Segmentation

Few-shot segmentation (FSS) aims to segment unseen object categories with a few (e.g., one or five) labeled examples, enabling efficient adaptation to novel classes. Conventional models typically rely on appearance-based visual matching between support and query images for segmentation. While straightforward, these met...

Yi-Jun Hu, Heng Fan, Li-Bo Zhang · 0 citations

#artificial intelligence Preprint Sep 2026

Knowing When to Trust Images: Reliability-Aware Multi-modal Entity Alignment

The visual modality, i.e., images, plays a key role in multi-modal entity alignment (MMEA). Existing approaches often directly fuse the image with other modalities to align different entities. Although simple, such strategies overlook the potential noise in the images and their semantic misalignment with corresponding...

Chen-Xiao Li, Yun-He Feng, Dongfang Liu et al. · 0 citations