Multiple Instance Learning: Review of Instance and Embedding Level Approaches

This article presents a new approach to Multiple Instance Learning (MIL) MIVPG is a type of machine learning that uses multiple instances to learn. The study uses attention-based VPG and a bag-level embedding to generate bag- level predictions. The authors will also present a case study of the use of multiple images in MIL.