Author

Hongseok Kim

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Open access 2026

FASTe: Framework With Application-Driven Spatio-Temporal Efficiency for Video Anomaly Detection

FASTe introduces a LogSumExp-based multiple instance learning (MIL) aggregation strategy for robust training on variable-length inputs, and introduces frame-level anomaly localization under weak supervision, without requiring dense labels.

Jihun Jeon, Raeyoung Chang, Jisu Kim et al. · IEEE Access · 0 citations