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most citedEnhancing Automatic Modulation Recognition for IoT Applications Using Transformers

3 citations · 3 across the 5 of their papers we have counts for

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cs.CV2026

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection

Narges Rashvand, Ghazal Alinezhad Noghre, Shanle Yao +2

Video Anomaly Detection (VAD) is inherently challenging due to the scarcity of anomalies and the large visual variability in surveillance footage, including changes in lighting, vi…