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Jie Deng

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#machine learning Preprint Aug 2026

When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection

This work introduces SCOUT (Support-Count Orthogonalized Unsupervised Testing), a factorized anomaly detector that separates replication-invariant support evidence from exposure-aware count evidence and specifies when multiplicity should be treated as signal, nuisance, or uninterpretable without additional information.

Jie Deng · 0 citations
Conference Jul 2026

Cross-modal bidirectional gating for pose-enhanced video action detection

BPMF is proposed, a mutual gating module that enables pose features to guide RGB attention toward action-critical regions while RGB features reweight pose responses to suppress unreliable structural cues and achieves superior results on JHMDB21.

Zijun Zhang, Jian-Jun Li, Huang-Liang Ren et al. · 0 citations

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