Class-incremental learning network for real-time anomaly recognition in surveillance environments

Research article (Pattern Recognition, 2025) · cited 15× · AI/ML
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Class-incremental learning network for real-time anomaly recognition in surveillance environments

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Class-incremental learning network for real-time anomaly recognition in surveillance environments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Class-incremental learning network for real-time anomaly recognition in surveillance environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/class-incremental-learning-network-for-real-time-anomaly-recognition-in-surveillance-environments
MLA “Class-incremental learning network for real-time anomaly recognition in surveillance environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/class-incremental-learning-network-for-real-time-anomaly-recognition-in-surveillance-environments.
BibTeX @misc{4ortxyz_class-incremental-learning-network-for-real-time-anomaly-recognition-in-surveillance-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Class-incremental learning network for real-time anomaly recognition in surveillance environments}}, year = {2026}, url = {https://4ort.xyz/entity/class-incremental-learning-network-for-real-time-anomaly-recognition-in-surveillance-environments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Class-incremental learning network for real-time anomaly recognition in surveillance environments — https://4ort.xyz/entity/class-incremental-learning-network-for-real-time-anomaly-recognition-in-surveillance-environments (retrieved 2026-05-24)

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