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 ...
In this letter, we propose an object-centric scene inference network to address unsupervised video anomaly detection. Compared with existing methods, the ...
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. Y Liu, Z Guo, J Liu, C Li, L Song. IEEE Signal Processing Letters 30 ...
Apr 17, 2024 · IVMSP-P8.9: OSIN: OBJECT-CENTRIC SCENE INFERENCE NETWORK FOR UNSUPERVISED VIDEO ANOMALY DETECTION. Yang Liu, Zhengliang Guo, Jing Liu ...
In this article, we propose a novel and robust unsupervised video anomaly detection method by frame prediction with a proper design which is more in line with ...
Jul 6, 2023 · “Osin: Object-centric scene inference network for unsupervised video anomaly detection,” IEEE Signal Processing Letters, vol. 30, pp. 359 ...
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OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection. IEEE Signal Processing Letters. 2023 | Journal article. DOI: 10.1109/LSP ...
In this work, we revisit the self-supervised multi-task learning framework, proposing several updates to the original method.
May 16, 2024 · In this article, we delineate the foundational assumptions, learning frameworks, and applicable scenarios of various deep learning-driven VAD routes.