2 papers
cs.CV2025
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song, Tiancheng Lin, Die Peng +2
Various multi-instance learning (MIL) based approaches have been developed and successfully applied to whole-slide pathological images (WSI). Existing MIL methods emphasize the imp…
cs.CV2024
Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
Tiancheng Lin, Jinglei Zhang, Yi Xu +3
Context-aware methods have achieved remarkable advancements in supervised scene text recognition by leveraging semantic priors from words. Considering the heterogeneity of text and…