Overview of Normality Guided Multiple Instance Learning For Weakly Supervised Video Anomaly Detection
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[CVPR 2021] MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
CVPR23' Proposal-based Multiple Instance Learning for Weakly-supervised Temporal Action Localization
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
[CVPR 2023] Weakly-supervised Anomaly Detection via Context-Motion Relational Learning
Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection
Multiple Instance Learning on Pathology Slides
Learning Memory-Guided Normality for Anomaly Detection
Weakly Supervised Video Anomaly Detection via Transformer Enabled Temporal Relation Learning
MixUp MIL: Novel Data Augmentation for Multiple Instance Learning
Learning Memory-guided Normality for Anomaly Detection (CVPR 2020)
1 min video - Clustering Assisted Weakly Supervised Learning for Anomalous Event Detection | ECCV20
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Last Updated: August 17, 2026
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![[CVPR 2021] MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection](https://i.ytimg.com/vi/99BCuWml_uw/mqdefault.jpg)
![[CVPR 2023] Weakly-supervised Anomaly Detection via Context-Motion Relational Learning](https://i.ytimg.com/vi/31ccYdwGDG8/mqdefault.jpg)
