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Found 2 papers, 2 papers with code
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Moreover, the student is used to update the teacher with an exponential moving average (EMA), which in turn identifies new hard instances for subsequent training iterations and stabilizes the optimization.
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification
To overcome this drawback, we present a \textit{Patch Refiner} to cluster patches into different groups and only select the highest distress-risk group to yield a slim head for the final image classification.
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