CVPR2025
M3amba: Memory Mamba is All You Need for Whole Slide Image Classification
Tingting Zheng, Kui Jiang, Yi Xiao, Sicheng Zhao, Hongxun Yao
Abstract
Figure 1. Comparison of different methods. (a)-(c) Transformers, bidirectional Mamba (BiMamba), and grouping BiMamba suffer from quadratic complexity, overlooking local or intra-group interactions, and forgetting information, respectively. (d) We propose a memory bank with grouping BiMamba to summarize and incorporate past group features into the current group for better bag prediction.