Abstract: Highlights•A survey on the current state of the Multiple Instance Learning.•We provide applications of Multiple instance learning in various domains.•We discuss how existing supervised learning algorithms are modified to support MIL.•Publicly available datasets and open research challenges in MIL are discussed.
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