Mar 31, 2023 · This letter proposes an Object-centric Scene Inference Network (OSIN) that uses a well-designed three-stream structure to learn both global scene normality and ...

Apr 10, 2023 · Experimental results on three benchmark datasets demonstrate the effectiveness of the proposed OSIN model, which achieves frame-level AUCs of ...

OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection · Liu, Yang · Guo, Zhengliang · Liu, Jing · Li, Chengfang · Song, Liang ...

OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection. Rewards 10 points. Resolved journal:IEEE Signal Processing Letters.

Apr 17, 2024 · OSIN: OBJECT-CENTRIC SCENE INFERENCE NETWORK FOR UNSUPERVISED VIDEO ANOMALY DETECTION · 1: HIGH RESOLUTION IMAGE QUALITY DATABASE · 2: AQF: ...

Osin: Object-centric scene inference network for unsupervised video anomaly detection. Y Liu, Z Guo, J Liu, C Li, L Song. IEEE Signal Processing Letters 30 ...

In this paper, we propose a new neural network for anomaly detection (termed AnomalyNet) by deeply achieving feature learning, sparse representation, and ...

Jul 6, 2023 · “Osin: Object-centric scene inference network for unsupervised video anomaly detection,” IEEE Signal Processing Letters, vol. 30, pp. 359 ...

OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection. Article. Jan 2023. Zhengliang Guo · Yang Liu · Jing Liu · Liang Song.

Nov 25, 2023 · Video Anomaly Detection (VAD) aims to automatically identify unexpected spatial–temporal patterns to detect abnormal events in surveillance ...