2 papers
eess.IV2025
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization
Shengchun Xiong, Xiangru Li, Yunpeng Zhong +1
Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However,…
cs.CL2024
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Xiaoman Xu, Xiangrun Li, Taihang Wang +1
Detecting fake news in large datasets is challenging due to its diversity and complexity, with traditional approaches often focusing on textual features while underutilizing semant…