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Self-Supervised Multi-Task Learning Using StridedConv3D-VideoSwin for Video Anomaly Detection

Year: 2024

Type: conference-paper

Source: International Conference on System Engineering and Technology

DOI: 10.1109/icset63729.2024.10775008

Authors: Rahman Indra Kesuma, Bambang Riyanto Trilaksono, Masayu Leylia Khodra

Institution: Bandung Institute of Technology

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Education

OpenAlex ID: W4406264236

FWCI: 0.317

Cites:

Cited by: 1

Related to: 10