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Multiple Instance Learning on Pathology Slides

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When it comes to applying computer vision in the medical field, most tasks involve either 1) image classification for diagnosis or 2) ...

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SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology

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To this end, we investigate the integration of supervised contrastive learning with

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Workshop 2: Multiple Instance Learning - Part 1 - Morning Session

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In this workshop, we will study the concept of

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Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays

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This talk is a recording of the talk given by Jonas Ammeling on BVM 2023 (https://bvm-workshop.org). If you want to stay up to date ...

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A short overview video of how

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[ICCV 2025] C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning

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C2MIL incorporates a novel cross-scale adaptive feature disentangling module for semantic causal intervention and a new ...

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Isolation Set-Kernel and its Application to Multi-Instance Learning

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)

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The presentation for the CVPR 2023 paper "

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Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

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Authors: Park, Seongheon*; Kim, Hanjae; Kim, Minsu; Kim, Dahye; Sohn , Kwanghoon Description: Weakly supervised Video ...

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Hierarchical Multiple Instance Learning | Tomas Pevny | JuliaCon 2021

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