GitHub

PseMix: Pseudo-Bag Mixup Augmentation for MIL-Based Whole Slide Image Classification

Its implementation details can be found via the function generate_pseudo_bags. This predefined function will be directly used and called in the next step, pseudo-bag mixup. move to that repo for a ...
GitHub

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models

After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...
IEEE

Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection

We propose a method for learning a classifier that accurately predicts both instance and bag classes in multiple instance learning (MIL) for anomaly detection, achieving significant performance ...
IEEE

Multiple Instance Differentiation Learning for Active Object Detection

Abstract: Despite the substantial progress of active learning for image recognition, there lacks a systematic investigation of instance-level active learning for object detection. In this paper, we ...